Method, device, medium and electronic equipment for determining the strength of coke after reaction

Abstract

This application discloses a method, device, medium, and electronic device for determining coke post-reaction strength. The method comprises: measuring the volatile matter, caking index, and coarse-grained mosaic structure content of a target coal sample; and determining the coke post-reaction strength of the target coal sample based on the volatile matter, caking index, and coarse-grained mosaic structure content of the target coal sample. This application can quickly determine the coke post-reaction strength.

Description

Technical Field

[0001] The present application relates to the field of coke technology, and in particular, to a method, device, medium, and electronic equipment for determining the strength of coke after reaction. Background Art

[0002] The coke strength after reaction (CSR) of single coal coking is an important indicator to measure the quality of coking coal.

[0003] Currently, when measuring CSR, the coking coal to be measured is first coked in a laboratory, and then the CSR of the resulting coke is measured. However, when coking in the laboratory, the coking amount is 20-70 kg, which has high time and labor costs and is not conducive to rapid CSR measurement. Summary of the Invention

[0004] The embodiments of the present application provide a method, device, medium, and electronic device for determining the post-reaction strength of coke, which can quickly determine the post-reaction strength of coke.

[0005] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by practice of the present application.

[0006] According to a first aspect of the present application, a method for determining the strength of coke after reaction is provided, comprising:

[0007] Measure the volatile matter, caking index and coarse-grained mosaic content of target coal samples;

[0008] The post-coke reaction strength of the target coal sample is determined according to the volatile matter of the target coal sample, the caking index of the target coal sample and the coarse-grained mosaic structure content of the target coal sample.

[0009] In some embodiments of the present application, based on the aforementioned scheme, determining the post-coke reaction strength of the target coal sample according to the volatile matter of the target coal sample, the caking index of the target coal sample, and the coarse-grained mosaic structure content of the target coal sample includes:

[0010] According to the measured values ​​of volatile matter, caking index, coarse-grained mosaic structure content and coke reaction strength of the coal sample, the target relationship among volatile matter, caking index, coarse-grained mosaic structure content and coke reaction strength is determined;

[0011] Based on the target relationship, the post-coke reaction strength of the target coal sample is determined according to the volatile matter of the target coal sample, the caking index of the target coal sample and the coarse-grained mosaic structure content of the target coal sample.

[0012] In some embodiments of the present application, based on the aforementioned solution, the target relationship is a determination formula, and the target relationship of volatile matter, caking index, coarse-grained mosaic structure content, and coke reaction strength after the measured values ​​of volatile matter, caking index, coarse-grained mosaic structure content, and coke reaction strength of the measured coal sample is determined, including:

[0013] A linear model was established with volatile matter, caking index, and coarse-grained mosaic structure content as input parameters and coke strength after reaction as output parameter.

[0014] Based on the linear model, the least squares method is used to fit the model according to the measured values ​​of volatile matter, caking index, coarse-grained mosaic structure content and coke reaction strength of the measured coal samples to obtain the determination formula.

[0015] In some embodiments of the present application, based on the above scheme, the linear model is established with volatile matter, caking index, and coarse-grained mosaic structure content as input parameters and coke post-reaction strength as output parameter, including:

[0016] A first linear model is established based on the volatile matter, bonding index, coarse-grained mosaic structure content, the first coefficient, the second coefficient and the third coefficient, wherein the first coefficient is the coefficient of the volatile matter, the second coefficient is the coefficient of the bonding index, and the third coefficient is the coefficient of the coarse-grained mosaic structure content.

[0017] In some embodiments of the present application, based on the above scheme, the linear model is established with volatile matter, caking index, and coarse-grained mosaic structure content as input parameters and coke post-reaction strength as output parameter, including:

[0018] A second linear model is established based on the volatile matter, bonding index, coarse-grained mosaic structure content, the first coefficient, the second coefficient, the third coefficient, the fourth coefficient, the fifth coefficient and the sixth coefficient, wherein the first coefficient is the coefficient of the volatile matter, the second coefficient is the coefficient of the bonding index, the third coefficient is the coefficient of the coarse-grained mosaic structure content, the fourth coefficient is the coefficient of the interaction term between the volatile matter and the bonding index, the fifth coefficient is the coefficient of the interaction term between the bonding index and the coarse-grained mosaic structure content, and the sixth coefficient is the coefficient of the interaction term between the coarse-grained mosaic structure content and the volatile matter.

[0019] In some embodiments of the present application, based on the above scheme, before establishing the second linear model according to the volatile matter, the bonding index, the coarse-grained mosaic structure content, the first coefficient, the second coefficient, the third coefficient, the fourth coefficient, the fifth coefficient, and the sixth coefficient, the method further includes:

[0020] The interaction terms between volatile matter and cohesive index, cohesive index and coarse-grained mosaic content, and coarse-grained mosaic content and volatile matter were determined.

[0021] In some embodiments of the present application, based on the above scheme, the measuring of the volatile matter, caking index and coarse-grained mosaic structure content of the target coal sample includes:

[0022] heating the target coal sample to a preset temperature in an air-tight condition, and measuring the mass reduction of the target coal sample during the heating process to determine the volatile matter;

[0023] The target coal sample is mixed with standard anthracite and heated under preset conditions to form a coke block, and the strength or compressive strength of the coke block is used to determine the bonding index;

[0024] The surface and fracture surface of the target coal sample are observed by a microscope, or the pore structure of the target coal sample is analyzed by CT technology to determine the content of the coarse-grained mosaic structure.

[0025] According to a second aspect of the present application, a device for determining the strength of coke after reaction is provided, comprising:

[0026] Measuring unit, measuring the volatile matter, caking index and coarse-grained mosaic structure content of the target coal sample;

[0027] A determination unit is configured to determine the post-coke reaction strength of the target coal sample according to the volatile matter of the target coal sample, the caking index of the target coal sample, and the coarse-grained mosaic structure content of the target coal sample.

[0028] According to a third aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. The computer program includes executable instructions. When the executable instructions are executed by a processor, the method described in any embodiment of the first aspect of the present application is implemented.

[0029] According to the fourth aspect of the present application, an electronic device is provided, comprising: one or more processors; and a memory for storing executable instructions of the processors, wherein when the executable instructions are executed by the one or more processors, the one or more processors implement the method described in any embodiment of the first aspect of the present application.

[0030] The beneficial effects of this application are as follows:

[0031] The post-coke reaction strength of the target coal sample is determined based on the volatile matter of the target coal sample, the caking index of the target coal sample and the coarse-grained mosaic structure content of the target coal sample. There is no need to perform laboratory coking on the target coal sample, and the cost of determining the post-coke reaction strength is low and the speed is fast.

[0032] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, explaining the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can derive other drawings based on these drawings without inventive effort. In the drawings:

[0034] Figure 1 A flow chart of a method for determining the strength of coke after reaction in an embodiment of the present application is shown;

[0035] Figure 2 A block diagram of a device for determining the strength of coke after reaction in an embodiment of the present application is shown;

[0036] Figure 3 A schematic diagram showing a computer-readable storage medium in an embodiment of the present application is shown;

[0037] Figure 4 A schematic diagram showing the system structure of an electronic device in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0039] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner.In the following description, many specific details are provided so as to provide a full understanding of the embodiments of the present application. However, it will be appreciated by those skilled in the art that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps etc. can be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0040] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0041] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0042] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0043] Figure 1 A flow chart showing a method for determining the strength of coke after reaction in an embodiment of the present application is shown. Figure 1 , provides a method for determining the strength of coke after reaction, including at least S1 to S2, which are detailed as follows:

[0044] In step S1 , the volatile matter, caking index and coarse-grained mosaic structure content of the target coal sample are measured.

[0045] In step S2, the coke-reaction strength of the target coal sample is determined according to the volatile matter of the target coal sample, the caking index of the target coal sample, and the coarse-grained mosaic structure content of the target coal sample. On the one hand, the coarse-grained mosaic structure has a low reactivity with carbon dioxide (CO2). Coal samples with a higher content of coarse-grained mosaic structure have a lower reactivity index (CRI) and a higher coke strength after reaction (CSR). Therefore, the coke strength after reaction is related to the coarse-grained mosaic structure content, and the coarse-grained mosaic structure content is used as a parameter to determine the coke strength after reaction. On the other hand, the coke strength after reaction is related to the porosity and pore wall thickness of the coke. The smaller the porosity and the thicker the pore wall, the higher the coke density and the coke strength after reaction. The volatile matter value can characterize the pore structure of the coke. The higher the volatile matter, the greater the porosity and the smaller the pore wall thickness. Therefore, the volatile matter is used as a parameter to determine the coke strength after reaction. On the other hand, some lean coking coals with a higher degree of metamorphism have a lower volatile matter and a higher coke density. However, if the cohesiveness is poor, the coke strength after reaction will decrease. Therefore, the cohesiveness index (G value), which can characterize the cohesiveness, is used as a parameter to determine the coke strength after reaction.

[0046] In some embodiments, determining the coke-reaction strength of the target coal sample based on the volatile matter, the caking index, and the coarse-grained mosaic structure content of the target coal sample comprises: determining a target relationship among volatile matter, caking index, coarse-grained mosaic structure content, and coke-reaction strength based on the measured values ​​of the volatile matter, caking index, coarse-grained mosaic structure content, and coke-reaction strength of the actually measured coal sample; and determining the coke-reaction strength of the target coal sample based on the volatile matter, caking index, and coarse-grained mosaic structure content of the target coal sample based on the target relationship. The target relationship may be a formula, i.e., a formula with volatile matter, caking index, and coarse-grained mosaic structure content as independent variables and coke-reaction strength as dependent variable, or may be in a table, i.e., a table in which a set of volatile matter, caking index, and coarse-grained mosaic structure corresponds to one coke-reaction strength.

[0047] In some embodiments, the target relationship is a determination formula, and the target relationship of volatile matter, caking index, coarse-grained mosaic structure content and coke reaction strength is determined based on the measured values ​​of volatile matter, caking index, coarse-grained mosaic structure content and coke reaction strength of the measured coal sample, including: establishing a linear model with volatile matter, caking index and coarse-grained mosaic structure content as input parameters and coke reaction strength as output parameter; based on the linear model, using the least squares method to fit the model according to the measured values ​​of volatile matter, caking index, coarse-grained mosaic structure content and coke reaction strength of the measured coal sample to obtain the determination formula.

[0048] In some embodiments, the linear model is established with volatile matter, caking index, and coarse-grained mosaic structure content as input parameters and the coke reaction strength as output parameter, including: establishing a first linear model based on volatile matter, caking index, coarse-grained mosaic structure content, a first coefficient, a second coefficient, and a third coefficient, wherein the first coefficient is the coefficient of volatile matter, the second coefficient is the coefficient of caking index, and the third coefficient is the coefficient of coarse-grained mosaic structure content.

[0049] In some embodiments, the first linear model is: CSR=β0+β1*V daf +β2*G+β3*P+ε, where β0 is the intercept, β1 is the first coefficient, V daf is the volatile matter, β2 is the second coefficient, G is the bonding index, β3 is the third coefficient, P is the coarse-grained mosaic structure content, and ε is the error term.

[0050] In some embodiments, the linear model is established with volatile matter, caking index, and coarse-grained mosaic structure content as input parameters and the coke post-reaction strength as output parameter, including: establishing a second linear model based on volatile matter, caking index, coarse-grained mosaic structure content, a first coefficient, a second coefficient, a third coefficient, a fourth coefficient, a fifth coefficient, and a sixth coefficient, wherein the first coefficient is the coefficient of volatile matter, the second coefficient is the coefficient of caking index, the third coefficient is the coefficient of coarse-grained mosaic structure content, the fourth coefficient is the coefficient of the interaction term between volatile matter and caking index, the fifth coefficient is the coefficient of the interaction term between caking index and coarse-grained mosaic structure content, and the sixth coefficient is the coefficient of the interaction term between coarse-grained mosaic structure content and volatile matter.

[0051] In some embodiments, before establishing the second linear model based on the volatile matter, bonding index, coarse-grained mosaic structure content, the first coefficient, the second coefficient, the third coefficient, the fourth coefficient, the fifth coefficient and the sixth coefficient, it also includes: determining the interaction term between the volatile matter and the bonding index, the interaction term between the bonding index and the coarse-grained mosaic structure content, and the interaction term between the coarse-grained mosaic structure content and the volatile matter.

[0052] In some embodiments, determining the interaction term between volatile matter and bonding index, the interaction term between bonding index and coarse-grained mosaic structure content, and the interaction term between coarse-grained mosaic structure content and volatile matter includes: multiplying the volatile matter and the bonding index to obtain the interaction term between the volatile matter and the bonding index; multiplying the interaction term between the bonding index and the coarse-grained mosaic structure content to obtain the interaction term between the bonding index and the coarse-grained mosaic structure content; and multiplying the coarse-grained mosaic structure content and the volatile matter to obtain the interaction term between the coarse-grained mosaic structure content and the volatile matter.

[0053] In some embodiments, determining the interaction term between volatile matter and bonding index, the interaction term between bonding index and coarse-grained mosaic structure content, and the interaction term between coarse-grained mosaic structure content and volatile matter includes: determining a first difference between volatile matter and a first value, a second difference between bonding index and a second value, and a third difference between coarse-grained mosaic structure content and a third value; multiplying the first difference by the second difference to obtain the interaction term between volatile matter and bonding index; multiplying the second difference by the third difference to obtain the interaction term between bonding index and coarse-grained mosaic structure content; and multiplying the third difference by the first difference to obtain the interaction term between coarse-grained mosaic structure content and volatile matter.

[0054] In some embodiments, the second linear model is: CSR=β0+β1*V daf +β2*G+β3*P+β4*V daf *G +β5* G *P+β5*P* V daf+ε, where β0 is the intercept, β1 is the first coefficient, V daf is the volatile matter, β2 is the second coefficient, G is the bonding index, β3 is the third coefficient, P is the coarse-grained mosaic structure content, β4 is the fourth coefficient, β5 is the fifth coefficient, β6 is the sixth coefficient, and ε is the error term.

[0055] In some embodiments, the second linear model is: CSR=β0+β1*V daf +β2*G+β3*P+β4*(V daf -a1)*(G-a2)+β5* (G-a2) *(P -a3)+β5*(P -a3)* (V daf -a1) + ε, where β0 is the intercept, β1 is the first coefficient, V daf is the volatile matter, β2 is the second coefficient, G is the bonding index, β3 is the third coefficient, P is the coarse-grained mosaic structure content, β4 is the fourth coefficient, a1 is the first value, a2 is the second value, β5 is the fifth coefficient, a3 is the third value, β6 is the sixth coefficient, and ε is the error term.

[0056] In some embodiments, the determination formula is CSR = [45.531-0.246*100*V daf -0.235*G+0.718*100*P-0.138*(100*V daf -23.314)*(G-89.286)-0.024*(100*V daf -23.314)*(100*P-65.531)+0.032*(G-89.286)*(P-65.531)]%, where V daf is the volatile matter, G is the bonding index, P is the coarse-grained mosaic structure content, β4 is the fourth coefficient, CSR, V daf The unit of P is %, and the unit of G is a value between 0 and 100.

[0057] For example, according to the above determination formula, the strength of the coke after reaction is obtained as shown in Table 1.

[0058] Table 1

[0059]

[0060] Table 2 shows a comparison table of the coke reaction strength obtained according to the determination method and the measured value of the coke reaction strength. Referring to Table 2, the error rate between the two is between 0.04 and 8.47%, the overall error is small, and the determination accuracy is high.

[0061] Table 2

[0062]

[0063] In some embodiments, the quality of coking coal is graded according to the CSR. Coking coal with a CSR ≥ 65% can be classified as Class 1, coking coal with a CSR between 55 and 65% can be classified as Class 2, and coking coal with a CSR below 55% can be classified as Class 3.

[0064] In some embodiments, the measuring of the volatile matter, caking index and coarse-grained mosaic structure content of the target coal sample includes: heating the target coal sample to a preset temperature under air-tight conditions, and measuring the mass reduction of the target coal sample during the heating process to determine the volatile matter; mixing the target coal sample with standard anthracite, and heating under preset conditions to form a coke block, and determining the caking index by measuring the strength or compressive resistance of the coke block; observing the surface and fracture surface of the target coal sample with a microscope, or analyzing the pore structure of the target coal sample with CT technology to determine the coarse-grained mosaic structure content.

[0065] According to a second aspect of the present application, a device 100 for determining the post-reaction strength of coke is provided, comprising:

[0066] The measuring unit 101 measures the volatile matter, caking index and coarse-grained mosaic structure content of the target coal sample;

[0067] The determination unit 102 determines the post-coke reaction strength of the target coal sample according to the volatile matter of the target coal sample, the caking index of the target coal sample, and the coarse-grained mosaic structure content of the target coal sample.

[0068] Based on the same inventive concept, as a third aspect, the present application further provides a computer-readable storage medium storing a program product capable of implementing the method for determining the post-reaction strength of coke described above. In some possible implementations, various aspects of the present application may also be implemented in the form of a program product comprising program code. When the program product is executed on a terminal device, the program code is configured to cause the terminal device to execute the steps described in the "Exemplary Methods" section above according to the various exemplary embodiments of the present application.

[0069] refer to Figure 3 As shown, a program product 200 for implementing the above method according to an embodiment of the present application is described. The program product 200 may be a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present application is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0070] The program product may utilize any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0071] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0072] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0073] The program code used to perform the operations of the present application can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0074] As another aspect, the present application also provides an electronic device capable of implementing the above method.

[0075] Those skilled in the art will appreciate that various aspects of the present application can be implemented as systems, methods, or program products. Therefore, various aspects of the present application can be specifically implemented in the following forms: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation that combines hardware and software aspects, which may be collectively referred to herein as a "circuit," "module," or "system."

[0076] Refer to the following Figure 4 hereinafter, an electronic device 300 according to this embodiment of the present application is described. Figure 4 The electronic device 300 shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0077] like Figure 4 As shown, electronic device 300 is implemented as a general-purpose computing device. Components of electronic device 300 may include, but are not limited to, the aforementioned at least one processing unit 310, the aforementioned at least one storage unit 320, and a bus 330 connecting various system components (including storage unit 320 and processing unit 310).

[0078] The storage unit stores program code, which can be executed by the processing unit 310, so that the processing unit 310 performs the steps described in the above "Example Method" section of this specification according to various exemplary embodiments of the present application.

[0079] The storage unit 320 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM) 321 and / or a cache memory unit 322 , and may further include a read-only memory unit (ROM) 323 .

[0080] The storage unit 320 may also include a program / utility 324 having a set (at least one) of program modules 325, such program modules 325 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0081] Bus 330 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0082] The electronic device 300 may also communicate with one or more external devices 400 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 300, and / or any device that enables the electronic device 300 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 350. Furthermore, the electronic device 300 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 360. Figure 4 As shown, the network adapter 360 communicates with other modules of the electronic device 300 via the bus 330. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0083] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and implementations are within the scope and spirit of this application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwiring, or a combination of any of these. Furthermore, the functional units may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit.

[0084] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0085] The units described as separate components may or may not be physically separate, and the components of the control device may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0086] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0087] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for determining the strength of coke after reaction, characterized in that: include: Measure the volatile matter, caking index and coarse-grained mosaic content of target coal samples; The coke strength after reaction CSR of the target coal sample is determined according to the volatile matter of the target coal sample, the caking index of the target coal sample, and the coarse-grained mosaic structure content of the target coal sample, including: determining a target relationship among the volatile matter, the caking index, the coarse-grained mosaic structure content, and the coke strength after reaction according to the measured values ​​of the volatile matter, the caking index, the coarse-grained mosaic structure content, and the coke strength after reaction of the coal sample; based on the target relationship, determining the coke strength after reaction CSR of the target coal sample according to the volatile matter of the target coal sample, the caking index of the target coal sample, and the coarse-grained mosaic structure content of the target coal sample, wherein the target relationship is a determination formula, and the determination formula is CSR = [45.531-0.246*100*V daf -0.235*G+0.718*100*P-0.138*(100*V daf -23.314)*(G-89.286)-0.024*(100*V daf -23.314)*(100*P-65.531)+0.032*(G-89.286)*(P-65.531)]%, where V daf is the volatile matter, G is the bonding index, P is the coarse-grained mosaic structure content, V daf The unit of P is %, and G is a value between 0 and 100.

2. The method for determining the post-reaction strength of coke according to claim 1, wherein: Determining the target relationship between volatile matter, caking index, coarse-grained mosaic structure content and coke strength after reaction based on the measured values ​​of volatile matter, caking index, coarse-grained mosaic structure content and coke strength after reaction of the coal sample includes: With volatile matter, caking index and coarse-grained mosaic structure content as input parameters and coke strength after reaction as output parameters, a linear model is established, including: determining the interaction term between volatile matter and caking index, the interaction term between caking index and coarse-grained mosaic structure content, and the interaction term between coarse-grained mosaic structure content and volatile matter; establishing a second linear model based on volatile matter, caking index, coarse-grained mosaic structure content, a first coefficient, a second coefficient, a third coefficient, a fourth coefficient, a fifth coefficient and a sixth coefficient, wherein the first coefficient is the coefficient of volatile matter, the second coefficient is the coefficient of caking index, the third coefficient is the coefficient of coarse-grained mosaic structure content, the fourth coefficient is the coefficient of the interaction term between volatile matter and caking index, the fifth coefficient is the coefficient of the interaction term between caking index and coarse-grained mosaic structure content, and the sixth coefficient is the coefficient of the interaction term between coarse-grained mosaic structure content and volatile matter; based on the second linear model, according to the measured values ​​of volatile matter, caking index, coarse-grained mosaic structure content and coarse-grained mosaic structure content and coke strength after reaction of the measured coal samples, the least squares method is used to perform model fitting to obtain the determination formula.

3. The method for determining the post-reaction strength of coke according to claim 1, wherein: The measurement of the volatile matter, caking index and coarse-grained mosaic structure content of the target coal sample includes: heating the target coal sample to a preset temperature in an air-tight condition, and measuring the mass reduction of the target coal sample during the heating process to determine the volatile matter; The target coal sample is mixed with standard anthracite and heated under preset conditions to form a coke block, and the strength or compressive strength of the coke block is used to determine the bonding index; The surface and fracture surface of the target coal sample are observed by a microscope, or the pore structure of the target coal sample is analyzed by CT technology to determine the content of the coarse-grained mosaic structure.

4. A device for determining the strength of coke after reaction, characterized in that: include: Measuring unit, measuring the volatile matter, caking index and coarse-grained mosaic structure content of the target coal sample; A determination unit determines the coke reaction strength (CSR) of the target coal sample according to the volatile matter of the target coal sample, the caking index of the target coal sample, the coarse-grained mosaic structure content of the target coal sample, and a determination formula, wherein the determination formula is: CSR = [45.531-0.246*100*V daf -0.235*G+0.718*100*P-0.138*(100*V daf -23.314)*(G-89.286)-0.024*(100*V daf -23.314)*(100*P-65.531)+0.032*(G-89.286)*(P-65.531)]%, where V daf is the volatile matter, G is the bonding index, P is the coarse-grained mosaic structure content, V daf The unit of P is %, and G is a value between 0 and 100.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: The computer program includes executable instructions, and when the executable instructions are executed by a processor, the method according to any one of claims 1 to 3 is implemented.

6. An electronic device, characterized in that: include: one or more processors; A memory for storing executable instructions of the processor, wherein when the executable instructions are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 3.

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