Method and device for determining raw coal density composition, processor and coal washing system

Abstract

This application provides a method, apparatus, processor, and coal washing system for determining the density composition of raw coal. The method includes: acquiring multiple first yields, each first yield being the yield of the product of a historical batch of raw coal samples in a first density range, with each first yield corresponding to a first density range; acquiring multiple second yields, each second yield being the yield of the product of a current batch of raw coal samples in a second density range, with each second yield corresponding to a second density range, and each second density range being the union of at least one first density range and an empty set; and determining multiple third yields based on the multiple first yields and multiple second yields, each third yield being the yield of the product of a current batch of raw coal samples in multiple first density ranges, with each third yield corresponding to a first density range. This method solves the problem of the large workload in determining the density composition of raw coal in the prior art.

Description

Technical Field

[0001] This application relates to the field of raw coal density analysis technology, and more specifically, to a method, apparatus, computer-readable storage medium, processor, and coal washing system for determining the density composition of raw coal. Background Technology

[0002] In some domestic coal washing plants, the sources of feed coal are diverse and the coal quality is complex. The coal blending and washing scheme needs to be constantly changed according to the changes in the properties of the raw coal. The workload of coal blending calculations is large, leaving staff with no time to attend to other tasks.

[0003] The calculation of raw coal blending requires understanding its density composition, which needs to be obtained through full-scale float-sink tests. (Float-sink tests, also known as heavy liquid analysis, refer to the test of separating test samples into products of various relative densities using heavy liquids or heavy suspensions with different relative densities.) However, for coal preparation plants where the properties of raw coal are constantly changing, this generates a large amount of repetitive work, and the labor intensity of experimental personnel is high, with long experimental time, limiting the timeliness of blending calculations. Now, there is a need for a method that can predict the density composition of raw coal that is adaptable to complex coal quality conditions and has a short processing time. Summary of the Invention

[0004] The main objective of this application is to provide a method, apparatus, computer-readable storage medium, processor, and coal washing system for determining the density composition of raw coal, so as to at least solve the problem of the large workload in the determination of the density composition of raw coal in the prior art.

[0005] To achieve the above objectives, according to one aspect of this application, a method for determining the density composition of raw coal is provided, comprising: obtaining a plurality of first yields, wherein the first yields are the yields of products of historical batches of raw coal samples in a first density range, the first density range being a density level corresponding to a full-scale float-sink test, and the first yields corresponding one-to-one with the first density ranges; obtaining a plurality of second yields, wherein the second yields are the yields of products of the current batch of the raw coal sample in a second density range, the second density range being a density level corresponding to a rapid float-sink test, the second yields corresponding one-to-one with the second density ranges, the second density range being a combination of at least one first density range and an empty set, the current batch and the historical batch being different batches of the same type of raw coal; and determining a plurality of third yields based on the plurality of first yields and the plurality of second yields, wherein the third yields are the yields of products of the current batch of the raw coal sample in the plurality of first density ranges, and the third yields corresponding one-to-one with the first density ranges.

[0006] Optionally, determining multiple third yields based on multiple first yields and multiple second yields includes: calculating multiple fourth yields based on multiple first yields, wherein the fourth yield is the sum of the first yields corresponding to all first density intervals in the second density interval, and the fourth yield corresponds one-to-one with the second density interval; calculating the ratio of each first yield to the corresponding fourth yield to obtain multiple yield ratios, wherein the yield ratios correspond one-to-one with the first density intervals; and obtaining multiple third yields based on the product of each yield ratio and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

[0007] Optionally, the experimental results of the full-scale float-sink test also include multiple first ash contents, where the first ash contents are the ash contents of the products of the raw coal samples from the historical batch in the first density range. The experimental results of the rapid float-sink test also include multiple second ash contents, where the second ash contents are the ash contents of the products of the raw coal samples from the current batch in the second density range. After determining multiple third yields based on multiple first yields and multiple second yields, the method further includes: calculating the product of the first ash contents and the first yields to obtain a first ash yield; and calculating the product of the second ash contents and the second yields to obtain a second ash yield.

[0008] Optionally, after calculating the product of the second ash content and the second yield to obtain the second ash yield, the method further includes: calculating a plurality of third ash yields based on a plurality of first ash yields, wherein the third ash yield is the sum of the first ash yields corresponding to all the first density intervals in the second density interval, and the third ash yield corresponds one-to-one with the second density interval; calculating the ratio of each first ash yield to the corresponding third ash yield to obtain a plurality of ash ratios, wherein the ash ratios correspond one-to-one with the first density intervals; and obtaining a plurality of fourth ash yields based on the product of each ash ratio and the corresponding target second ash yield, wherein the fourth ash yield is the ash yield of the product of the current batch of raw coal sample in the plurality of first density intervals, and the target second ash yield is the second ash yield corresponding to the second density interval in which the first density interval is located.

[0009] Optionally, obtaining multiple first yields includes: obtaining multiple first yield groups, each first yield group including the yield of the raw coal sample from a historical batch in all first density intervals; a calculation step, calculating the average of the yields corresponding to the target first density intervals in the multiple first yield groups to obtain the first yield, wherein the target first density interval is any one of the first density intervals; repeating the calculation step until the first yields corresponding to all the first density intervals are obtained.

[0010] Optionally, the number of the second density intervals is less than the number of the first density intervals.

[0011] According to another aspect of this application, an apparatus for determining the density composition of raw coal is provided, comprising: a first acquisition unit for acquiring a plurality of first yields, wherein the first yields are the yields of products of historical batches of raw coal samples in a first density range, the first density range being a density level corresponding to a full-scale float-sink test, and the first yields corresponding one-to-one with the first density ranges; a second acquisition unit for acquiring a plurality of second yields, wherein the second yields are the yields of products of the current batch of the raw coal sample in a second density range, the second density range being a density level corresponding to a rapid float-sink test, the second yields corresponding one-to-one with the second density ranges, the second density range being a combination of at least one first density range and an empty set, the current batch and the historical batch being different batches of the same type of raw coal; and a determination unit for determining a plurality of third yields based on the plurality of first yields and the plurality of second yields, wherein the third yields are the yields of products of the current batch of the raw coal sample in the plurality of first density ranges, and the third yields corresponding one-to-one with the first density ranges.

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

[0013] According to another aspect of this application, a processor is provided for running a program, wherein the program, when running, performs any of the methods described.

[0014] According to another aspect of this application, a coal washing system is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including methods for performing any one of the methods described.

[0015] Applying the technical solution of this application, in the method for determining the density composition of raw coal, firstly, multiple first yields are obtained. The first yields are the yields of the products of historical batches of raw coal samples in a first density range. The first density range is the density level corresponding to the full-scale float-sink test. The first yields correspond one-to-one with the first density ranges. Then, multiple second yields are obtained. The second yields are the yields of the products of the current batch of raw coal samples in a second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yields correspond one-to-one with the second density ranges. The second density range is the set of at least one of the first density ranges and an empty set. The current batch and the historical batch are different batches of the same type of raw coal. Finally, multiple third yields are determined based on the multiple first yields and the multiple second yields. The third yields are the yields of the products of the current batch of raw coal samples in the multiple first density ranges. The third yields correspond one-to-one with the first density ranges. This method obtains the first yield by performing full-scale float-sink tests on historical batches of raw coal samples and the second yield by performing rapid float-sink tests on the current batch of raw coal samples. Referring to the distribution of the first yield corresponding to the first density interval in the full-scale float-sink tests, and considering that the second density interval is the union of at least one of the aforementioned first density intervals and an empty set, the second yield is allocated according to the first yield of the first density interval within the second density interval. This yields multiple third yields, representing the yields of the current batch of raw coal samples across multiple first density intervals. This allows subsequent batches of raw coal to undergo only rapid float-sink tests after the full-scale float-sink tests of historical batches, and the results of the full-scale float-sink tests can be obtained through simple allocation calculations. This significantly improves efficiency, reduces workload, and solves the problem of the large workload involved in determining the density composition of raw coal in existing technologies. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0017] Figure 1 A hardware structure block diagram of a mobile terminal for performing a method for determining the density composition of raw coal, provided in an embodiment of this application, is shown.

[0018] Figure 2 A flowchart illustrating a method for determining the density composition of raw coal according to an embodiment of this application is shown.

[0019] Figure 3 A schematic diagram of a raw coal washing curve provided according to an embodiment of this application is shown;

[0020] Figure 4A structural block diagram of a device for determining the density composition of raw coal according to an embodiment of this application is shown. Detailed Implementation

[0021] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0022] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0024] For ease of description, the following explains some of the nouns or terms used in the embodiments of this application:

[0025] Full-grade float-sink test: refers to the test of dividing the test sample into multiple density grades using heavy liquids or heavy suspensions with different relative densities to reflect the density composition of raw coal;

[0026] Rapid buoyancy test: A simplified buoyancy test method used to quickly provide buoyancy test results, wherein the number of density levels in the rapid buoyancy test is less than the number of density levels in the full-class buoyancy test.

[0027] As described in the background section, the determination of the density composition of raw coal in the prior art is labor-intensive. To solve this problem, embodiments of this application provide a method, apparatus, computer-readable storage medium, processor, and coal washing system for determining the density composition of raw coal.

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0029] The methods and embodiments provided in this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a method of determining the density composition of raw coal according to an embodiment of the present invention. Figure 1 As shown, a mobile terminal may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. The mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0030] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the device information display method in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. The transmission device 106 is used to receive or send data via a network. Specific examples of the aforementioned networks may include wireless networks provided by the mobile terminal's communication provider. In one example, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to communicate with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0031] This embodiment provides a method for determining the density composition of raw coal that runs on a mobile terminal, computer terminal, or similar computing device. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0032] Figure 2 This is a flowchart of a method for determining the density composition of raw coal according to an embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0033] Step S201: Obtain multiple first yields. The first yields are the yields of the products of historical batches of raw coal samples in the first density range. The first density range is the density level corresponding to the full-grade float-sink test. The first yields correspond one-to-one with the first density ranges.

[0034] Specifically, coal preparation plants conduct rapid flotation tests on all incoming raw coal. The results of both full-grade flotation and rapid flotation tests reflect the density composition of the raw coal. However, the full-grade flotation test has more density levels than the rapid flotation test, which can better reflect the density composition of the raw coal. By conducting full-grade flotation tests on a sample of a certain historical batch of raw coal, the density composition of that batch of raw coal can be obtained. Each first yield corresponds to a first density range.

[0035] Step S202: Obtain multiple second yields. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one of the first density ranges and the empty set. The current batch and the historical batch are different batches of the same type of raw coal.

[0036] Specifically, the number of the second density intervals is less than the number of the first density intervals. Although the rapid float-sink test has fewer density levels and deviates somewhat from the actual situation, it is less labor-intensive and more efficient. Since the raw coal of the same coal seam is relatively stable under similar geological conditions and mining methods, the results of the rapid float test can be used to predict and calculate the float-sink of the entire grade within an acceptable error range. Therefore, a rapid float-sink test is conducted on the raw coal samples of the current batch to obtain the second yield corresponding to each second density interval, so as to predict and calculate the results of the float-sink test of the entire grade.

[0037] Step S203: Determine multiple third yields based on multiple first yields and multiple second yields. The third yields are the yields of the products of the current batch of raw coal samples in multiple first density ranges, and the third yields correspond one-to-one with the first density ranges.

[0038] Specifically, since the second density interval is a combination of at least one of the first density intervals and the empty set, the yield corresponding to each first density interval in the second density interval of the current batch can be predicted and calculated based on the proportion of the first yield of the historical batch corresponding to the first density interval in the second density interval, so that multiple third yields can be obtained, and the third yields correspond one-to-one with the first density intervals.

[0039] In the above method for determining the density composition of raw coal, firstly, multiple first yields are obtained. The first yields are the yields of the products of historical batches of raw coal samples in a first density range. The first density range is the density class corresponding to the full-scale float-sink test. The first yields correspond one-to-one with the first density range. Then, multiple second yields are obtained. The second yields are the yields of the products of the current batch of the above raw coal samples in a second density range. The second density range is the density class corresponding to the rapid float-sink test. The second yields correspond one-to-one with the second density range. The second density range is the union of at least one of the first density ranges and an empty set. The current batch and the historical batch are different batches of the same type of raw coal. Finally, multiple third yields are determined based on the multiple first yields and the multiple second yields. The third yields are the yields of the products of the current batch of the above raw coal samples in the multiple first density ranges. The third yields correspond one-to-one with the first density ranges. This method obtains the first yield by performing full-scale float-sink tests on historical batches of raw coal samples and the second yield by performing rapid float-sink tests on the current batch of raw coal samples. Referring to the distribution of the first yield corresponding to the first density interval in the full-scale float-sink tests, and considering that the second density interval is the union of at least one of the aforementioned first density intervals and an empty set, the second yield is allocated according to the first yield of the first density interval within the second density interval. This yields multiple third yields, representing the yields of the current batch of raw coal samples across multiple first density intervals. This allows subsequent batches of raw coal to undergo only rapid float-sink tests after the full-scale float-sink tests of historical batches, and the results of the full-scale float-sink tests can be obtained through simple allocation calculations. This significantly improves efficiency, reduces workload, and solves the problem of the large workload involved in determining the density composition of raw coal in existing technologies.

[0040] In practice, to improve the accuracy of the prediction results, in one optional solution, step S203 can be achieved through the following steps:

[0041] Step S2031: Calculate multiple fourth yields based on multiple first yields. The fourth yield is the sum of the first yields corresponding to all the first density intervals in the second density interval. The fourth yield corresponds one-to-one with the second density interval.

[0042] Step S2032: Calculate the ratio of each of the first yields to the corresponding fourth yields to obtain multiple yield ratios, and the yield ratios correspond one-to-one with the first density intervals.

[0043] Step S2033: Based on the product of each of the above-mentioned yield ratios and the corresponding target second yield, a plurality of the above-mentioned third yields are obtained, wherein the above-mentioned target second yield is the second yield corresponding to the above-mentioned second density interval in which the above-mentioned first density interval is located.

[0044] In this embodiment, as shown in Table 1, the table is a comparison table of the full-class float-and-sink test and the rapid float-and-sink test. As shown in the table, the rapid float density class <1.4 corresponds to the full-class float-and-sink density classes <1.3 and 1.3-1.4. The rapid float density class 1.4-1.8 corresponds to the full-class float-and-sink test density classes 1.4-1.5, 1.5-1.6, and 1.6-1.8. The density class >1.8 and coal slime only correspond to themselves. Considering that the yield ratio of the density range does not change within several density ranges corresponding to a certain rapid float density class, the yield of the full-class float-and-sink test of the historical batches for the density classes <1.3 and 1.3-1.4 is calculated to obtain a fourth yield. The ratio of the yield corresponding to the density class <1.3 in the full-class float-and-sink test of the historical batches to this fourth yield is calculated to obtain the yield ratio. The product of this yield ratio and the yield corresponding to the <1.4 density class in the rapid float-sink test of the current batch yields the <1.3 density class in the full-class float-sink test of the current batch, i.e., the third yield corresponding to the <1.3 density class. Similarly, the third yields corresponding to the 1.3–1.4, 1.4–1.5, 1.5–1.6, and 1.6–1.8 density classes can be calculated. The yield of the >1.8 density class in the full-class float-sink test of the current batch is consistent with the yield of the >1.8 density class in the rapid float-sink test of the current batch. The density classes are arranged in ascending order, with the <1.3, 1.3–1.4, 1.4–1.5, 1.5–1.6, 1.6–1.8, and >1.8 density classes numbered i = 1, 2, ... 6. The baseline full-class float-sink yield γ corresponding to the rapid float density class is: Where F corresponds to density level <1.4, M corresponds to density level 1.4 to 1.8, and r i Let be the baseline yield for all-class buoyancy at the i-th density class. When predicting and calculating the yield for all-class buoyancy, the cumulative yield <1.4 is equal to the corresponding fast-floating yield, and the fast-floating yield is allocated to each density class (<1.3 and 1.3-1.4) according to the original proportional relationship. γ' represents the predicted yield of all classes of floating and sinking. F There are two, γ M There are three, K represents fast floating.

[0045] Table 1

[0046]

[0047] To determine the ash content of raw coal, in one optional scheme, the experimental results of the above-mentioned full-grade float-sink test further include multiple first ash contents, wherein the first ash contents are the ash contents of the products of the above-mentioned historical batches of raw coal samples in the above-mentioned first density range; the experimental results of the above-mentioned rapid float-sink test further include multiple second ash contents, wherein the second ash contents are the ash contents of the products of the above-mentioned current batches of raw coal samples in the above-mentioned second density range; after step S203, the above method further includes:

[0048] Step S301: Calculate the product of the first ash content and the first yield to obtain the first ash yield;

[0049] Step S302: Calculate the product of the second ash content and the second yield to obtain the second ash yield.

[0050] In this embodiment, as shown in Table 1, each density level has not only a yield data column but also an ash content data column. The first ash yield is obtained by calculating the product of the first ash content and the first yield. That is, the corresponding ash yield can be obtained by calculating the product of the yield and ash content of each first density interval. The second ash yield is obtained by calculating the product of the second ash content and the second yield. That is, the corresponding ash yield can be obtained by calculating the product of the yield and ash content of each second density interval, so as to predict the ash yield of each first density interval of the current batch.

[0051] To further determine the ash content of the raw coal, in one alternative approach, after step S302, the method further includes:

[0052] Step S303: Calculate multiple third ash yields based on multiple first ash yields. The third ash yield is the sum of the first ash yields corresponding to all the first density intervals in the second density interval. The third ash yield corresponds one-to-one with the second density interval.

[0053] Step S304: Calculate the ratio of each of the first ash yields to the corresponding third ash yields to obtain multiple ash ratios, each of which corresponds to one of the first density ranges.

[0054] Step S305: Based on the product of each of the above-mentioned ash ratios and the corresponding target second ash yield, a plurality of fourth ash yields are obtained. The above-mentioned fourth ash yields are the ash yields of the products of the above-mentioned raw coal samples of the current batch in the plurality of the above-mentioned first density intervals. The above-mentioned target second ash yields are the second ash yields corresponding to the above-mentioned second density interval in which the above-mentioned first density interval is located.

[0055] In this embodiment, after calculating the ash yield, the ash content is also predicted using the same method. The density levels <1.3, 1.3–1.4, 1.4–1.5, 1.5–1.6, 1.6–1.8, and >1.8 are numbered i = 1, 2, … 6. Partial third ash yield Partial third ash yield Since the ash yield is the product of the yield and the ash content, Ash content corresponding to the fourth ash yield Where F corresponds to density level <1.4, M corresponds to density level 1.4 to 1.8, and r i Let A be the baseline overall buoyancy yield for the i-th density class. i Let be the ash content of the benchmark floating and sinking of the i-th density level.

[0056] To ensure the accuracy of the buoyancy test results, in one optional scheme, step S201 above includes:

[0057] Step S2011: Obtain multiple first yield groups, wherein the first yield groups include the yields of the raw coal samples from the aforementioned historical batches in all the aforementioned first density ranges.

[0058] Step S2012, calculation step, calculate the average value of the yield corresponding to the target first density interval in multiple first yield groups to obtain the first yield, wherein the target first density interval is any one of the first density intervals.

[0059] Step S2013: Repeat the above calculation steps until the first yield corresponding to all the first density intervals is obtained.

[0060] In this embodiment, multiple raw coal samples from historical batches were obtained and subjected to multiple full-grade float-sink tests. The yield of each density range was averaged to reduce errors and improve the accuracy of prediction.

[0061] This embodiment relates to a specific method for determining the density composition of raw coal, including the following steps:

[0062] Step S1: Obtain multiple first yields. The first yields are the yields of the products of historical batches of raw coal samples in the first density range. The first density range is the density level corresponding to the full-grade float-sink test. The first yields correspond one-to-one with the first density ranges.

[0063] Step S2: Obtain multiple second yields. The second yield is the yield of the product of the raw coal sample in the second density range in the current batch. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one of the first density ranges and the empty set. The current batch and the historical batch are different batches of the same type of raw coal.

[0064] Step S3: Calculate multiple fourth yields based on multiple first yields. Each fourth yield is the sum of the first yields corresponding to all the first density intervals within the second density interval. Each fourth yield corresponds one-to-one with the second density interval. Calculate the ratio of each first yield to its corresponding fourth yield to obtain multiple yield ratios. Each yield ratio corresponds one-to-one with the first density interval. Based on the product of each yield ratio and its corresponding target second yield, obtain multiple third yields. Each target second yield is the second yield corresponding to the second density interval in which the first density interval is located. Each third yield is the yield of the product of the current batch of raw coal sample within the multiple first density intervals. Each third yield corresponds one-to-one with the first density interval.

[0065] Step S4: The experimental results of the above-mentioned full-scale float-sink test also include multiple first ash contents, which are the ash contents of the products of the above-mentioned historical batches of raw coal samples in the above-mentioned first density range. The experimental results of the above-mentioned rapid float-sink test also include multiple second ash contents, which are the ash contents of the products of the above-mentioned current batch of raw coal samples in the above-mentioned second density range. The product of the above-mentioned first ash contents and the above-mentioned first yield is calculated to obtain the first ash yield. The product of the above-mentioned second ash contents and the above-mentioned second yield is calculated to obtain the second ash yield. Multiple third ash yields are calculated based on the multiple first ash yields. The third ash yield is the above-mentioned... The sum of the first ash yields corresponding to all the first density intervals in the second density interval, the third ash yield corresponding to each of the second density intervals, the ratio of each of the first ash yields to the corresponding third ash yield is calculated to obtain multiple ash ratios, the ash ratios corresponding to each of the first density intervals, and multiple fourth ash yields are obtained by multiplying each of the ash ratios and the corresponding target second ash yield. The fourth ash yield is the ash yield of the product of the current batch of the raw coal sample in the multiple first density intervals, and the target second ash yield is the second ash yield corresponding to the second density interval in which the first density interval is located.

[0066] Step S5: Calculate the ash content of each of the first density intervals based on the fourth ash yield and the corresponding third yield.

[0067] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0068] The results of rapid buoyancy and full-grade buoyancy data from a coal preparation plant are shown in Table 2, and the prediction results are shown in Table 3. Based on the above calculation method, the full-grade buoyancy data is further used to plot the selectivity curve, as shown below. Figure 3 As shown, a set of curves representing the coal washability, plotted based on the results of the float-sink test, includes the ash content characteristic curve (λ), the floating matter curve (β), the sinking matter curve (θ), the density curve (δ), and the sorting density ±0.1 line (ε). These curves can be further compared with the full-grade float-sink data produced during the same period of the fast float data. The graphs plotted from the predicted calculation data are basically consistent with the graphs plotted from the experimental data, demonstrating good substitutability.

[0069] Table 2

[0070]

[0071] Table 3

[0072]

[0073] This application also provides an apparatus for determining the density composition of raw coal. It should be noted that this apparatus can be used to execute the method for determining the density composition of raw coal provided in this application. This apparatus is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the apparatus described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0074] The following describes the apparatus for determining the density composition of raw coal provided in the embodiments of this application.

[0075] Figure 4 This is a schematic diagram of a device for determining the density composition of raw coal according to an embodiment of this application. Figure 4 As shown, the device includes:

[0076] The first acquisition unit 10 is used to acquire multiple first yields. The first yields are the yields of products in the first density range of historical batches of raw coal samples. The first density range is the density level corresponding to the full-grade float-sink test. The first yields correspond one-to-one with the first density ranges.

[0077] Specifically, coal preparation plants conduct rapid flotation tests on all incoming raw coal. The results of both full-grade flotation and rapid flotation tests reflect the density composition of the raw coal. However, the full-grade flotation test has more density levels than the rapid flotation test, which can better reflect the density composition of the raw coal. By conducting full-grade flotation tests on a sample of a certain historical batch of raw coal, the density composition of that batch of raw coal can be obtained. Each first yield corresponds to a first density range.

[0078] The second acquisition unit 20 is used to acquire multiple second yields. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one of the first density ranges and the empty set. The current batch and the historical batch are different batches of the same type of raw coal.

[0079] Specifically, the number of the second density intervals is less than the number of the first density intervals. Although the rapid float-sink test has fewer density levels and deviates somewhat from the actual situation, it is less labor-intensive and more efficient. Since the raw coal of the same coal seam is relatively stable under similar geological conditions and mining methods, the results of the rapid float test can be used to predict and calculate the float-sink of the entire grade within an acceptable error range. Therefore, a rapid float-sink test is conducted on the raw coal samples of the current batch to obtain the second yield corresponding to each second density interval, so as to predict and calculate the results of the float-sink test of the entire grade.

[0080] The determining unit 30 is used to determine a plurality of third yields based on a plurality of the aforementioned first yields and a plurality of the aforementioned second yields. The aforementioned third yields are the yields of the products of the aforementioned raw coal samples of the current batch in a plurality of the aforementioned first density ranges, and the aforementioned third yields correspond one-to-one with the aforementioned first density ranges.

[0081] Specifically, since the second density interval is a combination of at least one of the first density intervals and the empty set, the yield corresponding to each first density interval in the second density interval of the current batch can be predicted and calculated based on the proportion of the first yield of the historical batch corresponding to the first density interval in the second density interval, so that multiple third yields can be obtained, and the third yields correspond one-to-one with the first density intervals.

[0082] In the aforementioned apparatus for determining the density composition of raw coal, a first acquisition unit acquires multiple first yields, which are the yields of products from historical batches of raw coal samples within a first density range. The first density range corresponds to a density level in a full-scale float-sink test, and each first yield corresponds to a first density range. A second acquisition unit acquires multiple second yields, which are the yields of products from the current batch of the aforementioned raw coal sample within a second density range. The second density range corresponds to a density level in a rapid float-sink test, and each second yield corresponds to a second density range. Each second density range is a combination of at least one first density range and an empty set. The current batch and the historical batches are different batches of the same type of raw coal. A determination unit determines multiple third yields based on the multiple first yields and multiple second yields. The third yields are the yields of products from the current batch of the aforementioned raw coal sample within multiple first density ranges, and each third yield corresponds to a first density range. This device obtains a first yield by performing full-scale float-sink tests on historical batches of raw coal samples and a second yield by performing rapid float-sink tests on the current batch of raw coal samples. Referring to the distribution of the first yield corresponding to the first density interval in the full-scale float-sink tests, and since the second density interval is the union of at least one of the aforementioned first density intervals and an empty set, the second yield is allocated according to the first yield of the first density interval within the second density interval. This yields multiple third yields, i.e., the yields of the current batch of raw coal samples in multiple first density intervals. This allows subsequent batches of raw coal to undergo only rapid float-sink tests after the full-scale float-sink tests of historical batches, and the results of the full-scale float-sink tests can be obtained through simple allocation calculations. This significantly improves efficiency, reduces workload, and solves the problem of the large workload in determining the density composition of raw coal in existing technologies.

[0083] In specific implementation, to improve the accuracy of the prediction results, in one optional scheme, the aforementioned determining unit includes:

[0084] The first calculation module is used to calculate a plurality of fourth yields based on a plurality of the aforementioned first yields. The aforementioned fourth yields are the sum of the aforementioned first yields corresponding to all the aforementioned first density intervals in the aforementioned second density interval. The aforementioned fourth yields correspond one-to-one with the aforementioned second density intervals.

[0085] The second calculation module is used to calculate the ratio of each of the first yields to the corresponding fourth yield, and obtain multiple yield ratios, which correspond one-to-one with the first density intervals.

[0086] The third calculation module is used to obtain multiple third yields based on the product of each of the above yield ratios and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

[0087] In this embodiment, as shown in Table 1, the table is a comparison table of the full-class float-and-sink test and the rapid float-and-sink test. As shown in the table, the rapid float density class <1.4 corresponds to the full-class float-and-sink density classes <1.3 and 1.3-1.4. The rapid float density class 1.4-1.8 corresponds to the full-class float-and-sink test density classes 1.4-1.5, 1.5-1.6, and 1.6-1.8. The density class >1.8 and coal slime only correspond to themselves. Considering that the yield ratio of the density range does not change within several density ranges corresponding to a certain rapid float density class, the yield of the full-class float-and-sink test of the historical batches for the density classes <1.3 and 1.3-1.4 is calculated to obtain a fourth yield. The ratio of the yield corresponding to the density class <1.3 in the full-class float-and-sink test of the historical batches to this fourth yield is calculated to obtain the yield ratio. The product of this yield ratio and the yield corresponding to the <1.4 density class in the rapid float-sink test of the current batch yields the <1.3 density class in the full-class float-sink test of the current batch, i.e., the third yield corresponding to the <1.3 density class. Similarly, the third yields corresponding to the 1.3–1.4, 1.4–1.5, 1.5–1.6, and 1.6–1.8 density classes can be calculated. The yield of the >1.8 density class in the full-class float-sink test of the current batch is consistent with the yield of the >1.8 density class in the rapid float-sink test of the current batch. The density classes are arranged in ascending order, with the <1.3, 1.3–1.4, 1.4–1.5, 1.5–1.6, 1.6–1.8, and >1.8 density classes numbered i = 1, 2, ... 6. The baseline full-class float-sink yield γ corresponding to the rapid float density class is: Where F corresponds to density level <1.4, M corresponds to density level 1.4 to 1.8, and r i Let be the baseline yield for all-class buoyancy at the i-th density class. When predicting and calculating the yield for all-class buoyancy, the cumulative yield <1.4 is equal to the corresponding fast-floating yield, and the fast-floating yield is allocated to each density class (<1.3 and 1.3-1.4) according to the original proportional relationship. γ' represents the predicted yield of all classes of floating and sinking. F There are two, γ M There are three, K represents fast floating.

[0088] To determine the ash content of raw coal, in one optional scheme, the experimental results of the above-mentioned full-grade float-sink test further include multiple first ash contents, wherein the first ash contents are the ash contents of the products of the above-mentioned historical batches of raw coal samples in the above-mentioned first density range; the experimental results of the above-mentioned rapid float-sink test further include multiple second ash contents, wherein the second ash contents are the ash contents of the products of the above-mentioned current batches of raw coal samples in the above-mentioned second density range; the above method further includes:

[0089] The fourth calculation module is used to calculate the product of the first ash content and the first yield after determining multiple third yields based on multiple first yields and multiple second yields, to obtain the first ash yield.

[0090] The fifth calculation module is used to calculate the product of the second ash content and the second yield after determining multiple third yields based on multiple first yields and multiple second yields, to obtain the second ash yield.

[0091] In this embodiment, as shown in Table 1, each density level has not only a yield data column but also an ash content data column. The first ash yield is obtained by calculating the product of the first ash content and the first yield. That is, the corresponding ash yield can be obtained by calculating the product of the yield and ash content of each first density interval. The second ash yield is obtained by calculating the product of the second ash content and the second yield. That is, the corresponding ash yield can be obtained by calculating the product of the yield and ash content of each second density interval, so as to predict the ash yield of each first density interval of the current batch.

[0092] To further determine the ash content of the raw coal, one alternative approach to the above method includes:

[0093] The sixth calculation module is used to calculate multiple third ash yields based on multiple first ash yields after calculating the product of the second ash content and the second yield to obtain the second ash yield. The third ash yield is the sum of the first ash yields corresponding to all the first density intervals in the second density interval. The third ash yield corresponds one-to-one with the second density interval.

[0094] The seventh calculation module is used to calculate the ratio of each of the above-mentioned first ash yields to the corresponding above-mentioned third ash yields, thereby obtaining multiple ash ratios, each of which corresponds to one of the above-mentioned first density intervals.

[0095] The eighth calculation module is used to obtain multiple fourth ash yields based on the product of each of the above-mentioned ash ratios and the corresponding target second ash yield. The above-mentioned fourth ash yields are the ash yields of the products of the above-mentioned raw coal samples of the current batch in multiple above-mentioned first density intervals. The above-mentioned target second ash yields are the second ash yields corresponding to the above-mentioned second density interval in which the above-mentioned first density interval is located.

[0096] In this embodiment, after calculating the ash yield, the ash content is also predicted using the same method. The density levels <1.3, 1.3–1.4, 1.4–1.5, 1.5–1.6, 1.6–1.8, and >1.8 are numbered i = 1, 2, … 6. Partial third ash yield Partial third ash yield Since the ash yield is the product of the yield and the ash content, Ash content corresponding to the fourth ash yield Where F corresponds to density level <1.4, M corresponds to density level 1.4 to 1.8, and r i Let A be the baseline overall buoyancy yield for the i-th density class. i Let be the ash content of the benchmark floating and sinking of the i-th density level.

[0097] To ensure the accuracy of the buoyancy test results, in one optional scheme, the first acquisition unit includes:

[0098] The acquisition module is used to acquire multiple first yield groups, wherein the first yield groups include the yield of the product of the above-mentioned raw coal sample in all the above-mentioned first density ranges in a historical batch.

[0099] The ninth calculation module is used for the calculation step, which calculates the average value of the yield corresponding to the target first density interval in multiple first yield groups to obtain the first yield, wherein the target first density interval is any one of the first density intervals.

[0100] The tenth calculation module is used to repeat the above calculation steps until the first yield corresponding to all the above first density intervals is obtained.

[0101] In this embodiment, multiple raw coal samples from historical batches were obtained and subjected to multiple full-grade float-sink tests. The yield of each density range was averaged to reduce errors and improve the accuracy of prediction.

[0102] The aforementioned device for determining the density composition of raw coal includes a processor and a memory. The first acquisition unit, the second acquisition unit, and the determination unit are all stored as program units in the memory. The processor executes these program units stored in the memory to achieve their respective functions. All of the above modules are located in the same processor; alternatively, the modules may be located in different processors in any combination.

[0103] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can address the problem of the large workload involved in determining the density composition of raw coal in existing technologies.

[0104] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0105] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the method for determining the density composition of raw coal.

[0106] Specifically, the methods for determining the density composition of raw coal include:

[0107] Step S201: Obtain multiple first yields. The first yields are the yields of the products of historical batches of raw coal samples in the first density range. The first density range is the density level corresponding to the full-grade float-sink test. The first yields correspond one-to-one with the first density ranges.

[0108] Specifically, coal preparation plants conduct rapid flotation tests on all incoming raw coal. The results of both full-grade flotation and rapid flotation tests reflect the density composition of the raw coal. However, the full-grade flotation test has more density levels than the rapid flotation test, which can better reflect the density composition of the raw coal. By conducting full-grade flotation tests on a sample of a certain historical batch of raw coal, the density composition of that batch of raw coal can be obtained. Each first yield corresponds to a first density range.

[0109] Step S202: Obtain multiple second yields. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one of the first density ranges and the empty set. The current batch and the historical batch are different batches of the same type of raw coal.

[0110] Specifically, the number of the second density intervals is less than the number of the first density intervals. Although the rapid float-sink test has fewer density levels and deviates somewhat from the actual situation, it is less labor-intensive and more efficient. Since the raw coal of the same coal seam is relatively stable under similar geological conditions and mining methods, the results of the rapid float test can be used to predict and calculate the float-sink of the entire grade within an acceptable error range. Therefore, a rapid float-sink test is conducted on the raw coal samples of the current batch to obtain the second yield corresponding to each second density interval, so as to predict and calculate the results of the float-sink test of the entire grade.

[0111] Step S203: Determine multiple third yields based on multiple first yields and multiple second yields. The third yields are the yields of the products of the current batch of raw coal samples in multiple first density ranges, and the third yields correspond one-to-one with the first density ranges.

[0112] Specifically, since the second density interval is a combination of at least one of the first density intervals and the empty set, the yield corresponding to each first density interval in the second density interval of the current batch can be predicted and calculated based on the proportion of the first yield of the historical batch corresponding to the first density interval in the second density interval, so that multiple third yields can be obtained, and the third yields correspond one-to-one with the first density intervals.

[0113] Optionally, step S203 can be implemented by the following steps: Step S2031, calculating multiple fourth yields based on multiple first yields, wherein the fourth yield is the sum of the first yields corresponding to all the first density intervals in the second density interval, and the fourth yield corresponds one-to-one with the second density interval; Step S2032, calculating the ratio of each first yield to the corresponding fourth yield to obtain multiple yield ratios, wherein the yield ratios correspond one-to-one with the first density interval; Step S2033, obtaining multiple third yields based on the product of each yield ratio and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

[0114] Optionally, the experimental results of the above-mentioned full-scale float-sink test also include multiple first ash contents, which are the ash contents of the products of the above-mentioned historical batch of raw coal samples in the above-mentioned first density range. The experimental results of the above-mentioned rapid float-sink test also include multiple second ash contents, which are the ash contents of the products of the above-mentioned current batch of raw coal samples in the above-mentioned second density range. After step S203, the above method further includes: step S301, calculating the product of the above-mentioned first ash contents and the above-mentioned first yield to obtain the first ash yield; step S302, calculating the product of the above-mentioned second ash contents and the above-mentioned second yield to obtain the second ash yield.

[0115] Optionally, after step S302, the method further includes: step S303, calculating multiple third ash yields based on multiple first ash yields, wherein the third ash yields are the sum of the first ash yields corresponding to all the first density intervals in the second density interval, and the third ash yields correspond one-to-one with the second density intervals; step S304, calculating the ratio of each of the first ash yields to the corresponding third ash yield to obtain multiple ash ratios, wherein the ash ratios correspond one-to-one with the first density intervals; and step S305, obtaining multiple fourth ash yields based on the product of each of the ash ratios and the corresponding target second ash yield, wherein the fourth ash yields are the ash yields of the products of the current batch of raw coal samples in the multiple first density intervals, and the target second ash yields are the second ash yields corresponding to the second density interval in which the first density interval is located.

[0116] Optionally, step S201 includes: step S2011, obtaining multiple first yield groups, wherein the first yield groups include the yields of the raw coal samples from the aforementioned historical batch in all the aforementioned first density intervals; step S2012, a calculation step, calculating the average of the yields corresponding to the target first density intervals in the multiple first yield groups to obtain the aforementioned first yield, wherein the target first density interval is any of the aforementioned first density intervals; step S2013, repeating the above calculation steps until the aforementioned first yields corresponding to all the aforementioned first density intervals are obtained.

[0117] This invention provides a processor for running a program, wherein the program executes the method for determining the density composition of raw coal.

[0118] Specifically, the methods for determining the density composition of raw coal include:

[0119] Step S201: Obtain multiple first yields. The first yields are the yields of the products of historical batches of raw coal samples in the first density range. The first density range is the density level corresponding to the full-grade float-sink test. The first yields correspond one-to-one with the first density ranges.

[0120] Specifically, coal preparation plants conduct rapid flotation tests on all incoming raw coal. The results of both full-grade flotation and rapid flotation tests reflect the density composition of the raw coal. However, the full-grade flotation test has more density levels than the rapid flotation test, which can better reflect the density composition of the raw coal. By conducting full-grade flotation tests on a sample of a certain historical batch of raw coal, the density composition of that batch of raw coal can be obtained. Each first yield corresponds to a first density range.

[0121] Step S202: Obtain multiple second yields. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one of the first density ranges and the empty set. The current batch and the historical batch are different batches of the same type of raw coal.

[0122] Specifically, the number of the second density intervals is less than the number of the first density intervals. Although the rapid float-sink test has fewer density levels and deviates somewhat from the actual situation, it is less labor-intensive and more efficient. Since the raw coal of the same coal seam is relatively stable under similar geological conditions and mining methods, the results of the rapid float test can be used to predict and calculate the float-sink of the entire grade within an acceptable error range. Therefore, a rapid float-sink test is conducted on the raw coal samples of the current batch to obtain the second yield corresponding to each second density interval, so as to predict and calculate the results of the float-sink test of the entire grade.

[0123] Step S203: Determine multiple third yields based on multiple first yields and multiple second yields. The third yields are the yields of the products of the current batch of raw coal samples in multiple first density ranges, and the third yields correspond one-to-one with the first density ranges.

[0124] Specifically, since the second density interval is a combination of at least one of the first density intervals and the empty set, the yield corresponding to each first density interval in the second density interval of the current batch can be predicted and calculated based on the proportion of the first yield of the historical batch corresponding to the first density interval in the second density interval, so that multiple third yields can be obtained, and the third yields correspond one-to-one with the first density intervals.

[0125] Optionally, step S203 can be implemented by the following steps: Step S2031, calculating multiple fourth yields based on multiple first yields, wherein the fourth yield is the sum of the first yields corresponding to all the first density intervals in the second density interval, and the fourth yield corresponds one-to-one with the second density interval; Step S2032, calculating the ratio of each first yield to the corresponding fourth yield to obtain multiple yield ratios, wherein the yield ratios correspond one-to-one with the first density interval; Step S2033, obtaining multiple third yields based on the product of each yield ratio and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

[0126] Optionally, the experimental results of the above-mentioned full-scale float-sink test also include multiple first ash contents, which are the ash contents of the products of the above-mentioned historical batch of raw coal samples in the above-mentioned first density range. The experimental results of the above-mentioned rapid float-sink test also include multiple second ash contents, which are the ash contents of the products of the above-mentioned current batch of raw coal samples in the above-mentioned second density range. After step S203, the above method further includes: step S301, calculating the product of the above-mentioned first ash contents and the above-mentioned first yield to obtain the first ash yield; step S302, calculating the product of the above-mentioned second ash contents and the above-mentioned second yield to obtain the second ash yield.

[0127] Optionally, after step S302, the method further includes: step S303, calculating multiple third ash yields based on multiple first ash yields, wherein the third ash yields are the sum of the first ash yields corresponding to all the first density intervals in the second density interval, and the third ash yields correspond one-to-one with the second density intervals; step S304, calculating the ratio of each of the first ash yields to the corresponding third ash yield to obtain multiple ash ratios, wherein the ash ratios correspond one-to-one with the first density intervals; and step S305, obtaining multiple fourth ash yields based on the product of each of the ash ratios and the corresponding target second ash yield, wherein the fourth ash yields are the ash yields of the products of the current batch of raw coal samples in the multiple first density intervals, and the target second ash yields are the second ash yields corresponding to the second density interval in which the first density interval is located.

[0128] Optionally, step S201 includes: step S2011, obtaining multiple first yield groups, wherein the first yield groups include the yields of the raw coal samples from the aforementioned historical batch in all the aforementioned first density intervals; step S2012, a calculation step, calculating the average of the yields corresponding to the target first density intervals in the multiple first yield groups to obtain the aforementioned first yield, wherein the target first density interval is any of the aforementioned first density intervals; step S2013, repeating the above calculation steps until the aforementioned first yields corresponding to all the aforementioned first density intervals are obtained.

[0129] This invention provides a coal washing system, including: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include programs for performing the following method steps.

[0130] Step S201: Obtain multiple first yields. The first yields are the yields of the products of historical batches of raw coal samples in the first density range. The first density range is the density level corresponding to the full-grade float-sink test. The first yields correspond one-to-one with the first density ranges.

[0131] Specifically, coal preparation plants conduct rapid flotation tests on all incoming raw coal. The results of both full-grade flotation and rapid flotation tests reflect the density composition of the raw coal. However, the full-grade flotation test has more density levels than the rapid flotation test, which can better reflect the density composition of the raw coal. By conducting full-grade flotation tests on a sample of a certain historical batch of raw coal, the density composition of that batch of raw coal can be obtained. Each first yield corresponds to a first density range.

[0132] Step S202: Obtain multiple second yields. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one of the first density ranges and the empty set. The current batch and the historical batch are different batches of the same type of raw coal.

[0133] Specifically, the number of the second density intervals is less than the number of the first density intervals. Although the rapid float-sink test has fewer density levels and deviates somewhat from the actual situation, it is less labor-intensive and more efficient. Since the raw coal of the same coal seam is relatively stable under similar geological conditions and mining methods, the results of the rapid float test can be used to predict and calculate the float-sink of the entire grade within an acceptable error range. Therefore, a rapid float-sink test is conducted on the raw coal samples of the current batch to obtain the second yield corresponding to each second density interval, so as to predict and calculate the results of the float-sink test of the entire grade.

[0134] Step S203: Determine multiple third yields based on multiple first yields and multiple second yields. The third yields are the yields of the products of the current batch of raw coal samples in multiple first density ranges, and the third yields correspond one-to-one with the first density ranges.

[0135] Specifically, since the second density interval is a combination of at least one of the first density intervals and the empty set, the yield corresponding to each first density interval in the second density interval of the current batch can be predicted and calculated based on the proportion of the first yield of the historical batch corresponding to the first density interval in the second density interval, so that multiple third yields can be obtained, and the third yields correspond one-to-one with the first density intervals.

[0136] Optionally, step S203 can be implemented by the following steps: Step S2031, calculating multiple fourth yields based on multiple first yields, wherein the fourth yield is the sum of the first yields corresponding to all the first density intervals in the second density interval, and the fourth yield corresponds one-to-one with the second density interval; Step S2032, calculating the ratio of each first yield to the corresponding fourth yield to obtain multiple yield ratios, wherein the yield ratios correspond one-to-one with the first density interval; Step S2033, obtaining multiple third yields based on the product of each yield ratio and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

[0137] Optionally, the experimental results of the above-mentioned full-scale float-sink test also include multiple first ash contents, which are the ash contents of the products of the above-mentioned historical batch of raw coal samples in the above-mentioned first density range. The experimental results of the above-mentioned rapid float-sink test also include multiple second ash contents, which are the ash contents of the products of the above-mentioned current batch of raw coal samples in the above-mentioned second density range. After step S203, the above method further includes: step S301, calculating the product of the above-mentioned first ash contents and the above-mentioned first yield to obtain the first ash yield; step S302, calculating the product of the above-mentioned second ash contents and the above-mentioned second yield to obtain the second ash yield.

[0138] Optionally, after step S302, the method further includes: step S303, calculating multiple third ash yields based on multiple first ash yields, wherein the third ash yields are the sum of the first ash yields corresponding to all the first density intervals in the second density interval, and the third ash yields correspond one-to-one with the second density intervals; step S304, calculating the ratio of each of the first ash yields to the corresponding third ash yield to obtain multiple ash ratios, wherein the ash ratios correspond one-to-one with the first density intervals; and step S305, obtaining multiple fourth ash yields based on the product of each of the ash ratios and the corresponding target second ash yield, wherein the fourth ash yields are the ash yields of the products of the current batch of raw coal samples in the multiple first density intervals, and the target second ash yields are the second ash yields corresponding to the second density interval in which the first density interval is located.

[0139] Optionally, step S201 includes: step S2011, obtaining multiple first yield groups, wherein the first yield groups include the yields of the raw coal samples from the aforementioned historical batch in all the aforementioned first density intervals; step S2012, a calculation step, calculating the average of the yields corresponding to the target first density intervals in the multiple first yield groups to obtain the aforementioned first yield, wherein the target first density interval is any of the aforementioned first density intervals; step S2013, repeating the above calculation steps until the aforementioned first yields corresponding to all the aforementioned first density intervals are obtained.

[0140] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps:

[0141] Step S201: Obtain multiple first yields. The first yields are the yields of the products of historical batches of raw coal samples in the first density range. The first density range is the density level corresponding to the full-grade float-sink test. The first yields correspond one-to-one with the first density ranges.

[0142] Specifically, coal preparation plants conduct rapid flotation tests on all incoming raw coal. The results of both full-grade flotation and rapid flotation tests reflect the density composition of the raw coal. However, the full-grade flotation test has more density levels than the rapid flotation test, which can better reflect the density composition of the raw coal. By conducting full-grade flotation tests on a sample of a certain historical batch of raw coal, the density composition of that batch of raw coal can be obtained. Each first yield corresponds to a first density range.

[0143] Step S202: Obtain multiple second yields. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one of the first density ranges and the empty set. The current batch and the historical batch are different batches of the same type of raw coal.

[0144] Specifically, the number of the second density intervals is less than the number of the first density intervals. Although the rapid float-sink test has fewer density levels and deviates somewhat from the actual situation, it is less labor-intensive and more efficient. Since the raw coal of the same coal seam is relatively stable under similar geological conditions and mining methods, the results of the rapid float test can be used to predict and calculate the float-sink of the entire grade within an acceptable error range. Therefore, a rapid float-sink test is conducted on the raw coal samples of the current batch to obtain the second yield corresponding to each second density interval, so as to predict and calculate the results of the float-sink test of the entire grade.

[0145] Step S203: Determine multiple third yields based on multiple first yields and multiple second yields. The third yields are the yields of the products of the current batch of raw coal samples in multiple first density ranges, and the third yields correspond one-to-one with the first density ranges.

[0146] Specifically, since the second density interval is a combination of at least one of the first density intervals and the empty set, the yield corresponding to each first density interval in the second density interval of the current batch can be predicted and calculated based on the proportion of the first yield of the historical batch corresponding to the first density interval in the second density interval, so that multiple third yields can be obtained, and the third yields correspond one-to-one with the first density intervals.

[0147] Optionally, step S203 can be implemented by the following steps: Step S2031, calculating multiple fourth yields based on multiple first yields, wherein the fourth yield is the sum of the first yields corresponding to all the first density intervals in the second density interval, and the fourth yield corresponds one-to-one with the second density interval; Step S2032, calculating the ratio of each first yield to the corresponding fourth yield to obtain multiple yield ratios, wherein the yield ratios correspond one-to-one with the first density interval; Step S2033, obtaining multiple third yields based on the product of each yield ratio and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

[0148] Optionally, the experimental results of the above-mentioned full-scale float-sink test also include multiple first ash contents, which are the ash contents of the products of the above-mentioned historical batch of raw coal samples in the above-mentioned first density range. The experimental results of the above-mentioned rapid float-sink test also include multiple second ash contents, which are the ash contents of the products of the above-mentioned current batch of raw coal samples in the above-mentioned second density range. After step S203, the above method further includes: step S301, calculating the product of the above-mentioned first ash contents and the above-mentioned first yield to obtain the first ash yield; step S302, calculating the product of the above-mentioned second ash contents and the above-mentioned second yield to obtain the second ash yield.

[0149] Optionally, after step S302, the method further includes: step S303, calculating multiple third ash yields based on multiple first ash yields, wherein the third ash yields are the sum of the first ash yields corresponding to all the first density intervals in the second density interval, and the third ash yields correspond one-to-one with the second density intervals; step S304, calculating the ratio of each of the first ash yields to the corresponding third ash yield to obtain multiple ash ratios, wherein the ash ratios correspond one-to-one with the first density intervals; and step S305, obtaining multiple fourth ash yields based on the product of each of the ash ratios and the corresponding target second ash yield, wherein the fourth ash yields are the ash yields of the products of the current batch of raw coal samples in the multiple first density intervals, and the target second ash yields are the second ash yields corresponding to the second density interval in which the first density interval is located.

[0150] Optionally, step S201 includes: step S2011, obtaining multiple first yield groups, wherein the first yield groups include the yields of the raw coal samples from the aforementioned historical batch in all the aforementioned first density intervals; step S2012, a calculation step, calculating the average of the yields corresponding to the target first density intervals in the multiple first yield groups to obtain the aforementioned first yield, wherein the target first density interval is any of the aforementioned first density intervals; step S2013, repeating the above calculation steps until the aforementioned first yields corresponding to all the aforementioned first density intervals are obtained.

[0151] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0152] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0153] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0154] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0155] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0156] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0157] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, like read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0158] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0159] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0160] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0161] 1) In the method for determining the density composition of raw coal in this application, firstly, multiple first yields are obtained. The first yields are the yields of the products of historical batches of raw coal samples in a first density range. The first density range is the density level corresponding to the full-scale float-sink test. The first yields correspond one-to-one with the first density range. Then, multiple second yields are obtained. The second yields are the yields of the products of the current batch of raw coal samples in a second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yields correspond one-to-one with the second density range. The second density range is the set of at least one of the first density ranges and an empty set. The current batch and the historical batch are different batches of the same type of raw coal. Finally, multiple third yields are determined based on the multiple first yields and the multiple second yields. The third yields are the yields of the products of the current batch of raw coal samples in the multiple first density ranges. The third yields correspond one-to-one with the first density range. This method obtains the first yield by performing full-scale float-sink tests on historical batches of raw coal samples and the second yield by performing rapid float-sink tests on the current batch of raw coal samples. Referring to the distribution of the first yield corresponding to the first density interval in the full-scale float-sink tests, and considering that the second density interval is the union of at least one of the aforementioned first density intervals and an empty set, the second yield is allocated according to the first yield of the first density interval within the second density interval. This yields multiple third yields, representing the yields of the current batch of raw coal samples across multiple first density intervals. This allows subsequent batches of raw coal to undergo only rapid float-sink tests after the full-scale float-sink tests of historical batches, and the results of the full-scale float-sink tests can be obtained through simple allocation calculations. This significantly improves efficiency, reduces workload, and solves the problem of the large workload involved in determining the density composition of raw coal in existing technologies.

[0162] 2) In the raw coal density composition determination device of this application, the first acquisition unit acquires multiple first yields, the first yields being the yields of products from historical batches of raw coal samples in a first density range, the first density range being the density class corresponding to the full-scale float-sink test, and the first yields corresponding one-to-one with the first density ranges; the second acquisition unit acquires multiple second yields, the second yields being the yields of products from the current batch of the raw coal sample in a second density range, the second density range being the density class corresponding to the rapid float-sink test, the second yields corresponding one-to-one with the second density ranges, the second density range being the combination of at least one of the first density ranges and an empty set, the current batch and the historical batch being different batches of the same type of raw coal; the determination unit determines multiple third yields based on the multiple first yields and the multiple second yields, the third yields being the yields of products from the current batch of the raw coal sample in the multiple first density ranges, and the third yields corresponding one-to-one with the first density ranges. This device obtains a first yield by performing full-scale float-sink tests on historical batches of raw coal samples and a second yield by performing rapid float-sink tests on the current batch of raw coal samples. Referring to the distribution of the first yield corresponding to the first density interval in the full-scale float-sink tests, and since the second density interval is the union of at least one of the aforementioned first density intervals and an empty set, the second yield is allocated according to the first yield of the first density interval within the second density interval. This yields multiple third yields, i.e., the yields of the current batch of raw coal samples in multiple first density intervals. This allows subsequent batches of raw coal to undergo only rapid float-sink tests after the full-scale float-sink tests of historical batches, and the results of the full-scale float-sink tests can be obtained through simple allocation calculations. This significantly improves efficiency, reduces workload, and solves the problem of the large workload in determining the density composition of raw coal in existing technologies.

[0163] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for determining the density composition of raw coal, characterized in that, include: Multiple first yields are obtained. The first yield is the yield of the product of the raw coal sample in the first density range of the historical batch. The first density range is the density level corresponding to the full-grade float-sink test. The first yield corresponds one-to-one with the first density range. Multiple second yields are obtained. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one first density range and an empty set. The current batch and the historical batch are different batches of the same type of raw coal. Multiple third yields are determined based on multiple first yields and multiple second yields. Each third yield is the yield of the product of the current batch of raw coal sample within multiple first density ranges, and each third yield corresponds one-to-one with a first density range. Determining multiple third yields based on multiple first yields and multiple second yields includes: calculating multiple fourth yields based on multiple first yields, wherein the fourth yield is the sum of the first yields corresponding to all first density intervals in the second density interval, and the fourth yield corresponds one-to-one with the second density interval; calculating the ratio of each first yield to the corresponding fourth yield to obtain multiple yield ratios, wherein the yield ratios correspond one-to-one with the first density intervals; and obtaining multiple third yields based on the product of each yield ratio and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

2. The method according to claim 1, characterized in that, The experimental results of the full-scale float-sink test also include multiple first ash contents, which are the ash contents of the products of the raw coal samples from the historical batches in the first density range. The experimental results of the rapid float-sink test also include multiple second ash contents, which are the ash contents of the products of the raw coal samples from the current batch in the second density range. After determining multiple third yields based on multiple first yields and multiple second yields, the method further includes: The first ash yield is obtained by multiplying the first ash content and the first yield. The second ash content and the second yield are multiplied to obtain the second ash yield.

3. The method according to claim 2, characterized in that, After calculating the product of the second ash content and the second yield to obtain the second ash yield, the method further includes: Multiple third ash yields are calculated based on multiple first ash yields. The third ash yield is the sum of the first ash yields corresponding to all the first density intervals in the second density interval. The third ash yield corresponds one-to-one with the second density interval. Calculate the ratio of each first ash yield to the corresponding third ash yield to obtain multiple ash ratios, each of which corresponds to a first density range. Multiple fourth ash yields are obtained by multiplying each ash ratio and the corresponding target second ash yield. The fourth ash yield is the ash yield of the raw coal sample of the current batch in multiple first density intervals. The target second ash yield is the second ash yield corresponding to the second density interval in which the first density interval is located.

4. The method according to any one of claims 1 to 3, characterized in that, Obtain multiple first-product rates, including: Obtain multiple first yield groups, each first yield group comprising the yield of the product of the raw coal sample from one of the historical batches across all the first density ranges; The calculation steps involve calculating the average yield corresponding to the target first density interval in multiple first yield groups to obtain the first yield, wherein the target first density interval is any one of the first density intervals. Repeat the calculation steps until the first yield corresponding to all the first density intervals is obtained.

5. The method according to any one of claims 1 to 3, characterized in that, The number of the second density intervals is less than the number of the first density intervals.

6. A device for determining the density composition of raw coal, characterized in that, include: The first acquisition unit is used to acquire multiple first yields. The first yield is the yield of the product of the raw coal sample of the historical batch in the first density range. The first density range is the density level corresponding to the full-grade float-sink test. The first yield corresponds one-to-one with the first density range. The second acquisition unit is used to acquire multiple second yields. The second yield is the yield of the product of the raw coal sample in the current batch in the second density range. The second density range is the density level corresponding to the rapid float-sink test. The second yield corresponds one-to-one with the second density range. The second density range is the combination of at least one first density range and an empty set. The current batch and the historical batch are different batches of the same type of raw coal. A determining unit is configured to determine multiple third yields based on multiple first yields and multiple second yields, wherein the third yields are the yields of the raw coal sample of the current batch in multiple first density ranges, and each third yield corresponds one-to-one with a first density range. The determining unit includes: a first calculation module, configured to calculate a plurality of fourth yields based on a plurality of first yields, wherein the fourth yield is the sum of the first yields corresponding to all the first density intervals in the second density interval, and the fourth yield corresponds one-to-one with the second density interval; and a second calculation module, configured to calculate the ratio of each first yield to the corresponding fourth yield to obtain a plurality of yield ratios, wherein the yield ratio corresponds one-to-one with the first density interval. The third calculation module is used to obtain multiple third yields based on the product of each yield ratio and the corresponding target second yield, wherein the target second yield is the second yield corresponding to the second density interval in which the first density interval is located.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method of any one of claims 1 to 5.

8. A processor, characterized in that, The processor is used to run a program, wherein the program executes the method according to any one of claims 1 to 5 when it runs.

9. A coal washing system, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising methods for performing any one of claims 1 to 5.

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