Coal dust control method, coal dust control device, and electronic device

Abstract

The application provides a coal dust prevention method, a coal dust prevention device and an electronic device. The method comprises the following steps: firstly, obtaining sample parameters corresponding to a plurality of coal dust samples, wherein the sample parameters comprise physical parameters and chemical parameters; then, determining a wetting angle of the coal dust samples corresponding to the plurality of sample parameters in a wetting test; then, determining a relationship between the wetting angle and the sample parameters according to the sample parameters and the corresponding wetting angle, and obtaining a target relationship; finally, obtaining a target physical parameter, and determining a target chemical parameter of a target coal dust sample according to the target physical parameter and the target relationship. The method can improve the efficiency and effect of coal dust prevention by obtaining the sample parameters of a plurality of coal dust samples, obtaining the target relationship according to the sample parameters and the corresponding wetting angle, and determining the target chemical parameter according to the target physical parameter and the target relationship, thereby solving the problem of low prevention efficiency and poor effect of coal dust in the prior art.

Description

Technical Field

[0001] This application relates to the technical field of coal dust control methods, and more specifically, to a coal dust control method, a coal dust control device, a computer-readable storage medium, and an electronic device. Background Technology

[0002] The development of the coal industry is crucial to my country's basic energy security and the sustainable development of thermal power, iron and steel metallurgy, and chemical industries. Its pivotal role in the rapid development of the national economy and its status as my country's basic and primary energy source are unlikely to change in the short term. Over the past decade, with the increasing intelligence, mechanization, and automation of mines, the potential for disasters such as gas, coal dust, and fires has increased. Coal dust, in particular, generated during coal mining and processing, not only poses a significant threat to safe production and occupational health of workers in mining areas but also pollutes the environment and damages the ecosystem. Research on dust removal mechanisms and related technologies remains a key challenge and focus for the scientific and effective control of coal dust in the coal mining and processing industry.

[0003] Currently, the most commonly used methods for coal dust control include closed-loop dust control, curtain dust isolation, spray dust suppression, dust collector dust collection, and inhibitor dust suppression. Many of these coal dust control technologies utilize physical methods, resulting in relatively low removal rates for respirable coal dust. Since the 1960s, chemical dust suppression technology has developed rapidly, becoming a new direction in coal dust control. However, its long-term application in coal mines has been limited. The main reason is that, given the unclear mechanism of action of dust suppressants, the focus on developing dust suppressants through experimental methods and experience has led to poor adaptability and specificity of the agents. This has significantly hindered the development, application, and promotion of coal dust control technology in the coal industry. Summary of the Invention

[0004] The main objective of this application is to provide a method, device, computer-readable storage medium, and electronic device for preventing coal dust, so as to at least solve the problems of low efficiency and poor effectiveness in preventing coal dust in the prior art.

[0005] To achieve the above objectives, according to one aspect of this application, a method for controlling coal dust is provided, comprising: acquiring sample parameters corresponding to multiple coal dust samples, the sample parameters including physical parameters and chemical parameters, the physical parameters being used to characterize the physical properties of the coal dust samples, and the chemical parameters being used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples; determining the wetting angle of the coal dust samples corresponding to the multiple sample parameters in the wetting test; determining the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle, thereby obtaining a target relationship; acquiring target physical parameters, and determining target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that personnel process the target coal dust sample according to the target chemical parameters, wherein the target physical parameters are the physical parameters of the target coal dust sample.

[0006] Optionally, obtaining sample parameters of multiple coal dust samples includes: obtaining at least one of the composition, surface functional groups, particle size distribution range, specific surface area, and porosity of each coal dust sample to obtain the physical parameters corresponding to each coal dust sample; obtaining at least one of the type of wetting agent, the type of surfactant, and the concentration of the surfactant to obtain the chemical parameters; and arbitrarily combining each of the physical parameters and each of the chemical parameters to obtain multiple sample parameters.

[0007] Optionally, determining the wetting angle of the coal dust sample corresponding to multiple sample parameters in the wetting test includes: performing the wetting test on the coal dust sample corresponding to each of the physical parameters under the conditions of the corresponding chemical parameters to obtain the corresponding wetting angle.

[0008] Optionally, the relationship between the wetting angle and the sample parameters is determined based on the sample parameters and the corresponding wetting angle to obtain the target relationship. This includes using one of the following methods: data analysis, statistical methods, machine learning, and artificial intelligence, to determine the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle to obtain the target relationship.

[0009] Optionally, based on the sample parameters and the corresponding wetting angle, determining the relationship between the wetting angle and the sample parameters to obtain a target relationship includes: determining the target relationship as y = β0 + β1x1 + β2x2 + ... + β n x n Where y represents the wetting angle, x1, x2, ..., x... n Each of the following represents a different data feature in the sample parameters: β0, β1, β2, ..., βn Let β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the data features, Y is the vector of the wetting angle, T represents the transpose of the matrix, and -1 represents the inverse of the matrix.

[0010] Optionally, after determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters in the wetting test, the method further includes: determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters at different test times.

[0011] Optionally, the surfactant includes at least one of Tween 20 and Triton X-100.

[0012] According to another aspect of this application, a coal dust control device is provided, comprising an acquisition unit, a first determination unit, a second determination unit, and a third determination unit. The acquisition unit acquires sample parameters corresponding to multiple coal dust samples. These sample parameters include physical parameters and chemical parameters. The physical parameters characterize the physical properties of the coal dust samples, and the chemical parameters characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples. The first determination unit determines the wetting angle of the coal dust samples corresponding to the multiple sample parameters in the wetting test. The second determination unit determines the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle, obtaining a target relationship. The third determination unit acquires target physical parameters and determines target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that workers can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

[0013] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device where the computer-readable storage medium is located to perform any of the coal dust control methods described above.

[0014] According to another aspect of this application, an electronic device 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 of the coal dust control methods described above.

[0015] According to the technical solution of this application, in the method for preventing and controlling coal dust, firstly, sample parameters corresponding to multiple coal dust samples are obtained. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples. Then, the wetting angle of the coal dust samples corresponding to the multiple sample parameters in the wetting test is determined. Then, based on the sample parameters and the corresponding wetting angles, the relationship between the wetting angles and the sample parameters is determined to obtain a target relationship. Finally, target physical parameters are obtained, and target chemical parameters of the target coal dust samples are determined based on the target physical parameters and the target relationship, so that workers can process the target coal dust samples according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust samples. This method obtains sample parameters from multiple coal dust samples, including physical and chemical parameters. Based on the sample parameters and their corresponding wetting angles, a target relationship is obtained. Thus, the target chemical parameters can be determined based on the target physical parameters and the target relationship. This allows for the rapid acquisition of target chemical parameters with a high degree of matching with the target coal dust, thereby improving the efficiency and effectiveness of coal dust control and solving the problem of low efficiency and poor effectiveness of coal dust prevention 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 coal dust prevention method according to an embodiment of this application is shown;

[0018] Figure 2 A schematic flowchart of a method for preventing and controlling coal dust according to an embodiment of this application is shown.

[0019] Figure 3 A correlation diagram between coal dust properties and wetting angle is shown according to an embodiment of this application;

[0020] Figure 4 Another correlation diagram between coal dust properties and wetting angle is shown according to an embodiment of this application;

[0021] Figure 5 A graph showing the correlation between coal dust properties and wetting angle according to an embodiment of this application is shown;

[0022] Figure 6A graph showing the correlation between coal dust properties and wetting angle according to an embodiment of this application is provided.

[0023] Figure 7 A graph showing the effect of a surfactant on the wettability of coal dust according to an embodiment of this application is shown.

[0024] Figure 8 A graph showing the effect of another surfactant provided according to an embodiment of this application on the wettability of coal dust is shown.

[0025] Figure 9 A structural block diagram of a coal dust control device provided according to an embodiment of this application is shown.

[0026] The above figures include the following reference numerals:

[0027] 102. Processor; 104. Memory; 106. Transmission device; 108. Input / output device. Detailed Implementation

[0028] 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.

[0029] 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.

[0030] 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.

[0031] As described in the background section, the existing technology has low efficiency and poor effectiveness in preventing coal dust. To solve the above problems, the embodiments of this application provide a method for preventing and controlling coal dust, a device for preventing and controlling coal dust, a computer-readable storage medium, and an electronic device.

[0032] 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.

[0033] 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 coal dust prevention method 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.

[0034] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the coal dust prevention 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 may also include 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 instance, 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.

[0035] This embodiment provides a method for preventing coal dust 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. Also, 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.

[0036] Figure 2 This is a flowchart of a coal dust control method according to an embodiment of this application. Figure 2 As shown, the method includes the following steps:

[0037] Step S201: Obtain sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples.

[0038] Specifically, the above wetting test can be performed using experimental equipment such as a contact angle meter.

[0039] Data on the effect of surfactants on the wettability of coal dust can be collected by using different types and concentrations of surfactants to study the wettability of different coal dust samples. In one alternative approach, the surfactants include at least one of Tween20 and Triton X-100.

[0040] In one specific embodiment, the wetting angles of four samples under surfactants such as Tween 20 and Triton X-100 were measured, and the data obtained are shown in Table 1:

[0041] Table 1

[0042] Coal dust sample number Tweening angle (°) Triton X-100 wetting angle (°) Sample 1 70 80 Sample 2 60 70 Sample 3 50 60 Sample 4 40 50

[0043] In step S201, sample parameters of multiple coal dust samples are obtained, including: obtaining at least one of the following for each coal dust sample: composition, surface functional groups, particle size distribution range, specific surface area, and porosity, to obtain the corresponding physical parameters; obtaining at least one of the following: type of wetting agent, type of surfactant, and concentration of surfactant, to obtain the aforementioned chemical parameters; and arbitrarily combining the aforementioned physical and chemical parameters to obtain multiple sample parameters. The composition, surface functional groups, particle size distribution range, specific surface area, and porosity of coal dust samples are all properties of coal dust. The physical and chemical properties of different coal dust samples, as well as parameters such as the concentration and type of different wetting agents, can be measured to study their influence on wettability.

[0044] Step S202: Determine the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test;

[0045] Specifically, the wetting performance of coal dust is determined based on the size of the wetting angle.

[0046] In one specific embodiment, three different types of coal (coal A, coal B, and coal C) were selected, and their particle size distribution, specific surface area, and porosity were measured. Correlation analysis was then performed between these properties and the wetting angle, and relevant data were collected. The data are shown in Table 2.

[0047] Table 2

[0048] sample Particle size distribution (μm) <![CDATA[Specific surface area (m 2 / g)]]> Porosity (%) Wetting angle Coal A 2.5-50 2.3 3.5 75 Coal B 50-100 1.7 4.2 80 Coal C 100-200 1.1 4.8 85

[0049] Three different types of surfactants (surfactant A, surfactant B, and surfactant C) were selected to test the wetting properties of coal dust samples. The test data were statistically analyzed, and relevant information was collected. Different types of surfactants have different effects on the wetting properties of coal dust; therefore, it is necessary to select an appropriate surfactant based on specific circumstances. The data are shown in Table 3.

[0050] Table 3

[0051] sample Surfactant Initial contact angle (°) Final contact angle (°) Wetting angle Coal dust A Surfactant A 145 60 75 Surfactant B 145 45 80 Surfactant C 145 30 85 Coal dust B Surfactant A 135 50 75 Surfactant B 135 40 80 Surfactant C 135 30 85 Coal dust C Surfactant A 130 60 75 Surfactant B 130 50 80 Surfactant C 130 40 85

[0052] The wetting angles of different coal dust samples under different wetting agents were measured. For example, the wetting angles of four samples were measured, and the data are shown in Table 4.

[0053] Table 4

[0054] Coal dust sample number Wetting angle (°) Sample 1 90 Sample 2 80 Sample 3 75 Sample 4 70

[0055] To determine the relationship between the wettability of coal dust and time, one option involves determining the wetting angle of the coal dust samples corresponding to multiple sample parameters in the aforementioned wetting test. This includes performing the aforementioned wetting test on the coal dust samples corresponding to each of the aforementioned physical parameters under the conditions of the corresponding chemical parameters, and obtaining the corresponding wetting angle. In practical applications, the wettability of coal dust decreases with increasing time; therefore, it is necessary to select appropriate prevention and control methods for prompt treatment. The wettability of coal dust has a relatively small correlation with ash content, moisture content, and volatile matter content; therefore, different prevention and control measures can be adopted for different coal types.

[0056] In another specific embodiment, three coal dust samples with different particle sizes (coal dust A, coal dust B, and coal dust C) were selected and placed in a laboratory with a humidity of 70%. Hourly changes in humidity, temperature, and coal dust mass were recorded, and relevant data were collected. The data are shown in Table 5.

[0057] Table 5

[0058] sample Time (h) humidity(%) Temperature (°C) Coal dust mass (g) Coal dust A 1 70.2 25.1 50 2 70.5 25.2 50.5 3 70.8 25.3 51 Coal dust B 1 70.3 25 49.8 2 70.6 25.1 50.2 3 70.9 25.2 50.5 Coal dust C 1 70.5 24.9 49.5 2 70.7 25 49.9 3 71 25.1 50.3

[0059] After determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters in the wetting test in step S202, the method further includes: determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters at different test times.

[0060] Step S203: Based on the above sample parameters and the corresponding wetting angle, determine the relationship between the wetting angle and the sample parameters to obtain the target relationship;

[0061] Specifically, the target relationship is obtained based on the sample parameters and the corresponding wetting angle. The target relationship can be a model.

[0062] To facilitate obtaining the target relationship, in one optional approach, the relationship between the wetting angle and the sample parameters is determined based on the sample parameters and the corresponding wetting angle, thereby obtaining the target relationship. This includes using one of the following methods: data analysis, statistical methods, machine learning, and artificial intelligence, to determine the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle, thereby obtaining the target relationship.

[0063] In one alternative approach, determining the relationship between the wetting angle and the sample parameters based on the aforementioned sample parameters and the corresponding wetting angle to obtain the target relationship includes: determining the target relationship as y = β0 + β1x1 + β2x2 + ... + β n x n Where y represents the aforementioned wetting angle, and x1, x2, ..., x... n These represent different data characteristics in the above sample parameters, β0, β1, β2, ..., β n Let β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the aforementioned data features, Y is the vector of the aforementioned wetting angles, T represents the transpose of the aforementioned matrix, and -1 represents the inverse of the aforementioned matrix. The target relationship obtained through the above model is more accurate.

[0064] In practical applications, Python modules can also be built for analysis and calculation. Specifically, first, the data is read; then, data preprocessing is performed; then, the wetting degree of coal dust is calculated; then, the wetting angle of each coal dust sample is obtained by calculating the difference between the initial and final contact angles; then, the average wetting degree of coal dust is calculated; then, the correlation between coal dust properties and wetting performance is calculated; finally, visualization analysis is performed, such as... Figure 3As shown, a correlation diagram of coal dust properties and wetting angle is presented, plotting the curve of coal dust wetting angle changing over time. Figures 4 to 6 As shown, a correlation diagram between coal dust properties and wetting angle is plotted, as follows. Figure 7 and Figure 8 As shown, a diagram illustrating the effect of surfactants on the wettability of coal dust is presented.

[0065] Step S204: Obtain the target physical parameters, and determine the target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that the staff can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

[0066] Specifically, based on the above-mentioned target relationships, the direction and methods for coal dust prevention and control can be determined, providing strong support for safe coal mine production.

[0067] The above embodiments obtain sample parameters from multiple coal dust samples, including physical and chemical parameters. Based on the sample parameters and their corresponding wetting angles, a target relationship is obtained. Thus, the target chemical parameters can be determined based on the target physical parameters and the target relationship. This allows for the rapid acquisition of target chemical parameters with a high degree of matching with the target coal dust, thereby improving the efficiency and effectiveness of coal dust control and solving the problem of low efficiency and poor effectiveness of coal dust prevention in the prior art.

[0068] 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.

[0069] This application also provides a coal dust control device. It should be noted that the coal dust control device of this application can be used to execute the coal dust control method provided in this application. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0070] The following describes the coal dust control device provided in the embodiments of this application.

[0071] Figure 9 This is a schematic diagram of a coal dust control device according to an embodiment of this application. Figure 9 As shown, the device includes an acquisition unit 10, a first determination unit 20, a second determination unit 30, and a third determination unit 40, wherein:

[0072] The aforementioned acquisition unit 10 is used to acquire sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples.

[0073] Specifically, the above wetting test can be performed using experimental equipment such as a contact angle meter.

[0074] Data on the effect of surfactants on the wettability of coal dust can be collected by using different types and concentrations of surfactants to study the wettability of different coal dust samples. In one alternative approach, the surfactants include at least one of Tween20 and Triton X-100.

[0075] In one specific embodiment, the wetting angles of four samples under surfactants such as Tween 20 and Triton X-100 were measured, and the data obtained are shown in Table 6:

[0076] Table 6

[0077] Coal dust sample number Tweening angle (°) Triton X-100 wetting angle (°) Sample 1 70 80 Sample 2 60 70 Sample 3 50 60 Sample 4 40 50

[0078] The aforementioned acquisition unit includes a first acquisition module, a second acquisition module, and a combination module. The first acquisition module acquires at least one of the following parameters of each coal dust sample: composition, surface functional groups, particle size distribution range, specific surface area, and porosity, to obtain the corresponding physical parameters. The second acquisition module acquires at least one of the following parameters: type of wetting agent, type of surfactant, and concentration of surfactant, to obtain the aforementioned chemical parameters. The combination module arbitrarily combines the aforementioned physical and chemical parameters to obtain multiple sample parameters. The composition, surface functional groups, particle size distribution range, specific surface area, and porosity of coal dust samples are all properties of coal dust. The physical and chemical properties of different coal dust samples, as well as parameters such as the concentration and type of different wetting agents, can be measured to study their influence on wettability.

[0079] The first determining unit 20 is used to determine the wetting angle of the coal dust sample corresponding to the above-mentioned sample parameters in the above-mentioned wetting test;

[0080] Specifically, the wetting performance of coal dust is determined based on the size of the wetting angle.

[0081] In one specific embodiment, three different types of coal (coal A, coal B, and coal C) were selected, and their particle size distribution, specific surface area, and porosity were measured. Correlation analysis was then performed between these properties and the wetting angle, and relevant data were collected. The data are shown in Table 7.

[0082] Table 7

[0083] sample Particle size distribution (μm) <![CDATA[Specific surface area (m 2 / g)]]> Porosity (%) Wetting angle Coal A 2.5-50 2.3 3.5 75 Coal B 50-100 1.7 4.2 80 Coal C 100-200 1.1 4.8 85

[0084] Three different types of surfactants (surfactant A, surfactant B, and surfactant C) were selected to test the wetting properties of coal dust samples. The test data were statistically analyzed, and relevant information was collected. Different types of surfactants have different effects on the wetting properties of coal dust; therefore, it is necessary to select an appropriate surfactant based on specific circumstances. The data are shown in Table 8.

[0085] Table 8

[0086]

[0087]

[0088] The wetting angles of different coal dust samples under different wetting agents were measured. For example, the wetting angles of four samples were measured, and the data are shown in Table 9.

[0089] Table 9

[0090] Coal dust sample number Wetting angle (°) Sample 1 90 Sample 2 80 Sample 3 75 Sample 4 70

[0091] To obtain the relationship between the wettability of coal dust and time, in one optional embodiment, the first determining unit includes a first determining module. This first determining module is used to perform the aforementioned wetting test on the coal dust samples corresponding to each of the aforementioned physical parameters under the conditions of the corresponding chemical parameters, thereby obtaining the corresponding wetting angle. In practical applications, the wettability of coal dust decreases with increasing time; therefore, it is necessary to select appropriate prevention and control methods for prompt treatment. The wettability of coal dust has a relatively small correlation with ash content, moisture content, and volatile matter content; therefore, different prevention and control measures can be adopted for different coal types.

[0092] In another specific embodiment, three coal dust samples with different particle sizes (coal dust A, coal dust B, and coal dust C) were selected and placed in a laboratory with 70% humidity. Hourly changes in humidity, temperature, and coal dust mass were recorded, and relevant data were collected. The data are shown in the table below.

[0093] Table 10

[0094]

[0095]

[0096] The above-mentioned device further includes a fourth determining unit, which is used to determine the wetting angle of the coal dust sample corresponding to the plurality of sample parameters at different test times after determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters in the wetting test.

[0097] The second determining unit 30 is used to determine the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle, and to obtain the target relationship.

[0098] Specifically, the target relationship is obtained based on the sample parameters and the corresponding wetting angle. The target relationship can be a model.

[0099] To facilitate the acquisition of the target relationship, in one optional embodiment, the second determining unit includes a second determining module. The second determining module is used to determine the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle, using one of the following methods: data analysis, statistical methods, machine learning, and artificial intelligence, to obtain the target relationship.

[0100] In one alternative embodiment, the second determining unit includes a third determining module, which is used to determine the target relationship as y = β0 + β1x1 + β2x2 + ... + β based on the sample parameters and the corresponding wetting angle. n x n Where y represents the aforementioned wetting angle, and x1, x2, ..., x... n These represent different data characteristics in the above sample parameters, β0, β1, β2, ..., β n Let β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the aforementioned data features, Y is the vector of the aforementioned wetting angles, T represents the transpose of the aforementioned matrix, and -1 represents the inverse of the aforementioned matrix. The target relationship obtained through the above model is more accurate.

[0101] In practical applications, Python modules can also be built for analysis and calculation. Specifically, first, the data is read; then, data preprocessing is performed; then, the wetting degree of coal dust is calculated; then, the wetting angle of each coal dust sample is obtained by calculating the difference between the initial and final contact angles; then, the average wetting degree of coal dust is calculated; then, the correlation between coal dust properties and wetting performance is calculated; finally, visualization analysis is performed, such as... Figure 3 As shown, plot the curve of coal dust wetting angle changing with time, as follows. Figures 4 to 6 As shown, a correlation diagram between coal dust properties and wetting angle is plotted, as follows. Figure 7 and Figure 8As shown, a diagram illustrating the effect of surfactants on the wettability of coal dust is presented.

[0102] The third determining unit 40 is used to acquire target physical parameters and determine target chemical parameters of the target coal dust sample based on the target physical parameters and target relationship, so that the staff can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

[0103] Specifically, based on the above-mentioned target relationships, the direction and methods for coal dust prevention and control can be determined, providing strong support for safe coal mine production.

[0104] The above embodiments obtain sample parameters from multiple coal dust samples, including physical and chemical parameters. Based on the sample parameters and their corresponding wetting angles, a target relationship is obtained. Thus, the target chemical parameters can be determined based on the target physical parameters and the target relationship. This allows for the rapid acquisition of target chemical parameters with a high degree of matching with the target coal dust, thereby improving the efficiency and effectiveness of coal dust control and solving the problem of low efficiency and poor effectiveness of coal dust prevention in the prior art.

[0105] The aforementioned coal dust control device includes a processor and a memory. The acquisition unit, first determining unit, second determining unit, third determining unit, and fourth determining unit are all stored as program units in the memory. The processor executes these program units stored in the memory to achieve the corresponding functions. All of the above modules are located in the same processor; alternatively, the modules may be located in different processors in any combination.

[0106] 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 low efficiency and poor effectiveness of existing coal dust prevention technologies.

[0107] 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.

[0108] 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 coal dust prevention method.

[0109] Specifically, methods for preventing and controlling coal dust include:

[0110] Step S201: Obtain sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples.

[0111] Specifically, the above wetting test can be performed using experimental equipment such as a contact angle meter.

[0112] Step S202: Determine the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test;

[0113] Specifically, the wetting performance of coal dust is determined based on the size of the wetting angle.

[0114] Step S203: Based on the above sample parameters and the corresponding wetting angle, determine the relationship between the wetting angle and the sample parameters to obtain the target relationship;

[0115] Specifically, the target relationship is obtained based on the sample parameters and the corresponding wetting angle. The target relationship can be a model.

[0116] Step S204: Obtain the target physical parameters, and determine the target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that the staff can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

[0117] Specifically, based on the above-mentioned target relationships, the direction and methods for coal dust prevention and control can be determined, providing strong support for safe coal mine production.

[0118] Optionally, sample parameters of multiple coal dust samples are obtained, including: obtaining at least one of the following for each coal dust sample: composition, surface functional groups, particle size distribution range, specific surface area, and porosity, to obtain the physical parameters corresponding to each coal dust sample; obtaining at least one of the following: type of wetting agent, type of surfactant, and concentration of surfactant, to obtain the chemical parameters; and arbitrarily combining the physical parameters and chemical parameters to obtain multiple sample parameters.

[0119] Optionally, determining the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test includes: performing the above wetting test on the coal dust sample corresponding to each of the above physical parameters under the corresponding chemical parameters to obtain the corresponding wetting angle.

[0120] Optionally, based on the above sample parameters and the corresponding wetting angle, the relationship between the wetting angle and the above sample parameters is determined to obtain the target relationship, including: using one of the following methods: data analysis, statistical methods, machine learning, and artificial intelligence, to determine the target relationship.

[0121] Optionally, based on the above sample parameters and the corresponding wetting angles, the relationship between the wetting angles and the sample parameters is determined to obtain the target relationship, including: determining the target relationship as y = β0 + β1x1 + β2x2 + ... + β n x n Where y represents the aforementioned wetting angle, and x1, x2, ..., x... n These represent different data characteristics in the above sample parameters, β0, β1, β2, ..., β n Let β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the data features mentioned above, Y is the vector of the wetting angle mentioned above, T represents the transpose of the matrix mentioned above, and -1 represents the inverse of the matrix mentioned above.

[0122] Optionally, after determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters in the above wetting test, the method further includes: determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters at different test times.

[0123] Optionally, the surfactants mentioned above include at least one of Tween 20 and Triton X-100.

[0124] This invention provides a processor for running a program, wherein the program executes the coal dust prevention and control method.

[0125] Step S201: Obtain sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples.

[0126] Specifically, the above wetting test can be performed using experimental equipment such as a contact angle meter.

[0127] Step S202: Determine the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test;

[0128] Specifically, the wetting performance of coal dust is determined based on the size of the wetting angle.

[0129] Step S203: Based on the above sample parameters and the corresponding wetting angle, determine the relationship between the wetting angle and the sample parameters to obtain the target relationship;

[0130] Specifically, the target relationship is obtained based on the sample parameters and the corresponding wetting angle. The target relationship can be a model.

[0131] Step S204: Obtain the target physical parameters, and determine the target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that the staff can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

[0132] Specifically, based on the above-mentioned target relationships, the direction and methods for coal dust prevention and control can be determined, providing strong support for safe coal mine production.

[0133] Optionally, sample parameters of multiple coal dust samples are obtained, including: obtaining at least one of the following for each coal dust sample: composition, surface functional groups, particle size distribution range, specific surface area, and porosity, to obtain the physical parameters corresponding to each coal dust sample; obtaining at least one of the following: type of wetting agent, type of surfactant, and concentration of surfactant, to obtain the chemical parameters; and arbitrarily combining the physical parameters and chemical parameters to obtain multiple sample parameters.

[0134] Optionally, determining the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test includes: performing the above wetting test on the coal dust sample corresponding to each of the above physical parameters under the corresponding chemical parameters to obtain the corresponding wetting angle.

[0135] Optionally, based on the above sample parameters and the corresponding wetting angle, the relationship between the wetting angle and the above sample parameters is determined to obtain the target relationship, including: using one of the following methods: data analysis, statistical methods, machine learning, and artificial intelligence, to determine the target relationship.

[0136] Optionally, based on the above sample parameters and the corresponding wetting angles, the relationship between the wetting angles and the sample parameters is determined to obtain the target relationship, including: determining the target relationship as y = β0 + β1x1 + β2x2 + ... + β n x n Where y represents the aforementioned wetting angle, and x1, x2, ..., x... n These represent different data characteristics in the above sample parameters, β0, β1, β2, ..., β nLet β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the data features mentioned above, Y is the vector of the wetting angle mentioned above, T represents the transpose of the matrix mentioned above, and -1 represents the inverse of the matrix mentioned above.

[0137] Optionally, after determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters in the above wetting test, the method further includes: determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters at different test times.

[0138] Optionally, the surfactants mentioned above include at least one of Tween 20 and Triton X-100.

[0139] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps:

[0140] Step S201: Obtain sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples.

[0141] Specifically, the above wetting test can be performed using experimental equipment such as a contact angle meter.

[0142] Step S202: Determine the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test;

[0143] Specifically, the wetting performance of coal dust is determined based on the size of the wetting angle.

[0144] Step S203: Based on the above sample parameters and the corresponding wetting angle, determine the relationship between the wetting angle and the sample parameters to obtain the target relationship;

[0145] Specifically, the target relationship is obtained based on the sample parameters and the corresponding wetting angle. The target relationship can be a model.

[0146] Step S204: Obtain the target physical parameters, and determine the target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that the staff can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

[0147] Specifically, based on the above-mentioned target relationships, the direction and methods for coal dust prevention and control can be determined, providing strong support for safe coal mine production.

[0148] Optionally, sample parameters of multiple coal dust samples are obtained, including: obtaining at least one of the following for each coal dust sample: composition, surface functional groups, particle size distribution range, specific surface area, and porosity, to obtain the physical parameters corresponding to each coal dust sample; obtaining at least one of the following: type of wetting agent, type of surfactant, and concentration of surfactant, to obtain the chemical parameters; and arbitrarily combining the physical parameters and chemical parameters to obtain multiple sample parameters.

[0149] Optionally, determining the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test includes: performing the above wetting test on the coal dust sample corresponding to each of the above physical parameters under the corresponding chemical parameters to obtain the corresponding wetting angle.

[0150] Optionally, based on the above sample parameters and the corresponding wetting angle, the relationship between the wetting angle and the above sample parameters is determined to obtain the target relationship, including: using one of the following methods: data analysis, statistical methods, machine learning, and artificial intelligence, to determine the target relationship.

[0151] Optionally, based on the above sample parameters and the corresponding wetting angles, the relationship between the wetting angles and the sample parameters is determined to obtain the target relationship, including: determining the target relationship as y = β0 + β1x1 + β2x2 + ... + β n x n Where y represents the aforementioned wetting angle, and x1, x2, ..., x... n These represent different data characteristics in the above sample parameters, β0, β1, β2, ..., β n Let β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the data features mentioned above, Y is the vector of the wetting angle mentioned above, T represents the transpose of the matrix mentioned above, and -1 represents the inverse of the matrix mentioned above.

[0152] Optionally, after determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters in the above wetting test, the method further includes: determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters at different test times.

[0153] Optionally, the surfactants mentioned above include at least one of Tween 20 and Triton X-100.

[0154] The devices mentioned in this article can be servers, PCs, tablets, mobile phones, etc.

[0155] 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:

[0156] Step S201: Obtain sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples.

[0157] Specifically, the above wetting test can be performed using experimental equipment such as a contact angle meter.

[0158] Step S202: Determine the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test;

[0159] Specifically, the wetting performance of coal dust is determined based on the size of the wetting angle.

[0160] Step S203: Based on the above sample parameters and the corresponding wetting angle, determine the relationship between the wetting angle and the sample parameters to obtain the target relationship;

[0161] Specifically, the target relationship is obtained based on the sample parameters and the corresponding wetting angle. The target relationship can be a model.

[0162] Step S204: Obtain the target physical parameters, and determine the target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that the staff can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

[0163] Specifically, based on the above-mentioned target relationships, the direction and methods for coal dust prevention and control can be determined, providing strong support for safe coal mine production.

[0164] Optionally, sample parameters of multiple coal dust samples are obtained, including: obtaining at least one of the following for each coal dust sample: composition, surface functional groups, particle size distribution range, specific surface area, and porosity, to obtain the physical parameters corresponding to each coal dust sample; obtaining at least one of the following: type of wetting agent, type of surfactant, and concentration of surfactant, to obtain the chemical parameters; and arbitrarily combining the physical parameters and chemical parameters to obtain multiple sample parameters.

[0165] Optionally, determining the wetting angle of the coal dust sample corresponding to the above sample parameters in the above wetting test includes: performing the above wetting test on the coal dust sample corresponding to each of the above physical parameters under the corresponding chemical parameters to obtain the corresponding wetting angle.

[0166] Optionally, based on the above sample parameters and the corresponding wetting angle, the relationship between the wetting angle and the above sample parameters is determined to obtain the target relationship, including: using one of the following methods: data analysis, statistical methods, machine learning, and artificial intelligence, to determine the target relationship.

[0167] Optionally, based on the above sample parameters and the corresponding wetting angles, the relationship between the wetting angles and the sample parameters is determined to obtain the target relationship, including: determining the target relationship as y = β0 + β1x1 + β2x2 + ... + β n x n Where y represents the aforementioned wetting angle, and x1, x2, ..., x... n These represent different data characteristics in the above sample parameters, β0, β1, β2, ..., β n Let β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the data features mentioned above, Y is the vector of the wetting angle mentioned above, T represents the transpose of the matrix mentioned above, and -1 represents the inverse of the matrix mentioned above.

[0168] Optionally, after determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters in the above wetting test, the method further includes: determining the wetting angle of the coal dust sample corresponding to the plurality of sample parameters at different test times.

[0169] Optionally, the surfactants mentioned above include at least one of Tween 20 and Triton X-100.

[0170] 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.

[0171] 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.

[0172] 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.

[0173] 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.

[0174] 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.

[0175] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0176] 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.

[0177] 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 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.

[0178] 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.

[0179] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0180] 1) In the coal dust control method of this application, firstly, sample parameters corresponding to multiple coal dust samples are obtained. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples. Then, the wetting angle of the coal dust samples corresponding to the multiple sample parameters in the wetting test is determined. Then, based on the sample parameters and the corresponding wetting angles, the relationship between the wetting angles and the sample parameters is determined to obtain a target relationship. Finally, target physical parameters are obtained, and target chemical parameters of the target coal dust samples are determined based on the target physical parameters and the target relationship, so that the staff can process the target coal dust samples according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust samples. This method obtains sample parameters from multiple coal dust samples, including physical and chemical parameters. Based on the sample parameters and their corresponding wetting angles, a target relationship is obtained. Thus, the target chemical parameters can be determined based on the target physical parameters and the target relationship. This allows for the rapid acquisition of target chemical parameters with a high degree of matching with the target coal dust, thereby improving the efficiency and effectiveness of coal dust control and solving the problem of low efficiency and poor effectiveness of coal dust prevention in existing technologies.

[0181] 2) The coal dust control device of this application includes an acquisition unit, a first determination unit, a second determination unit, and a third determination unit. The acquisition unit acquires sample parameters corresponding to multiple coal dust samples. These sample parameters include physical parameters and chemical parameters. The physical parameters characterize the physical properties of the coal dust samples, and the chemical parameters characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples. The first determination unit determines the wetting angle of the coal dust samples corresponding to the multiple sample parameters in the wetting test. The second determination unit determines the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle, obtaining a target relationship. The third determination unit acquires target physical parameters and determines the target chemical parameters of the target coal dust sample based on the target physical parameters and the target relationship, so that workers can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample. This device acquires sample parameters from multiple coal dust samples, including physical and chemical parameters. Based on the sample parameters and their corresponding wetting angles, a target relationship is obtained. Thus, the target chemical parameters can be determined based on the target physical parameters and the target relationship. This allows for the rapid acquisition of target chemical parameters with a high degree of matching with the target coal dust, thereby improving the efficiency and effectiveness of coal dust control. This solves the problem of low efficiency and poor effectiveness of coal dust prevention in existing technologies.

[0182] 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 preventing and controlling coal dust, characterized in that, include: Obtain sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples. Determine the wetting angle of the coal dust sample in the wetting test corresponding to multiple sample parameters; Based on the sample parameters and the corresponding wetting angle, the relationship between the wetting angle and the sample parameters is determined to obtain the target relationship; The target physical parameters are obtained, and the target chemical parameters of the target coal dust sample are determined based on the target physical parameters and the target relationship, so that the staff can process the target coal dust sample according to the target chemical parameters. The target physical parameters are the physical parameters of the target coal dust sample.

2. The method for preventing and controlling coal dust according to claim 1, characterized in that, Obtain sample parameters from multiple coal dust samples, including: Obtain at least one of the following for each coal dust sample: composition, surface functional groups, particle size distribution range, specific surface area, and porosity, to obtain the physical parameters corresponding to each coal dust sample. The chemical parameters are obtained by obtaining at least one of the type of wetting agent, the type of surfactant, and the concentration of the surfactant; By arbitrarily combining the physical parameters and the chemical parameters, multiple sample parameters can be obtained.

3. The method for preventing and controlling coal dust according to claim 1, characterized in that, Determining the wetting angle of the coal dust sample corresponding to multiple sample parameters in the wetting test includes: Under the corresponding chemical parameters, the wetting test is performed on the coal dust samples corresponding to each of the physical parameters to obtain the corresponding wetting angle.

4. The method for preventing and controlling coal dust according to claim 1, characterized in that, Based on the sample parameters and the corresponding wetting angle, the relationship between the wetting angle and the sample parameters is determined to obtain the target relationship, including: Using one of the following methods—data analysis, statistical methods, machine learning, and artificial intelligence—the relationship between the wetting angle and the sample parameters is determined based on the sample parameters and the corresponding wetting angle, thus obtaining the target relationship.

5. The method for preventing and controlling coal dust according to claim 1, characterized in that, Based on the sample parameters and the corresponding wetting angle, the relationship between the wetting angle and the sample parameters is determined to obtain the target relationship, including: Based on the sample parameters and the corresponding wetting angle, the target relationship is determined as y = β0 + β1x1 + β2x2 + ... + β n x n Where y represents the wetting angle, x1, x2, ..., x... n Each of the following represents a different data feature in the sample parameters: β0, β1, β2, ..., β n Let β = (XTX)⁻¹XTY represent the coefficients of the linear regression model, where β represents the coefficient vector, X represents the matrix of the data features, Y is the vector of the wetting angle, T represents the transpose of the matrix, and -1 represents the inverse of the matrix.

6. The method for preventing and controlling coal dust according to claim 1, characterized in that, After determining the wetting angle of the coal dust sample in the wetting test corresponding to the multiple sample parameters, the method further includes: The wetting angle of the coal dust sample corresponding to multiple sample parameters at different test times is determined.

7. The method for controlling coal dust according to any one of claims 1 to 6, characterized in that, The surfactant includes at least one of Tween 20 and Triton X-100.

8. A coal dust control device, characterized in that, include: The acquisition unit is used to acquire sample parameters corresponding to multiple coal dust samples. The sample parameters include physical parameters and chemical parameters. The physical parameters are used to characterize the physical properties of the coal dust samples, and the chemical parameters are used to characterize the parameters of the wetting agent and / or surfactant used in the wetting test of the coal dust samples. The first determining unit is used to determine the wetting angle of the coal dust sample corresponding to the multiple sample parameters in the wetting test; The second determining unit is used to determine the relationship between the wetting angle and the sample parameters based on the sample parameters and the corresponding wetting angle, so as to obtain the target relationship; The third determining unit is used to acquire target physical parameters and determine target chemical parameters of the target coal dust sample based on the target physical parameters and target relationships, so that the staff can process the target coal dust sample according to the target chemical parameters, wherein the target physical parameters are the physical parameters of the target coal dust sample.

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

10. An electronic device, 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 the coal dust control method according to any one of claims 1 to 7.

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