Coal quality detection method, device and equipment
By acquiring the NIR and XRF spectra of coal, the coal quality test results can be quickly extracted, solving the problems of cumbersome and time-consuming coal quality testing in existing technologies. This enables real-time coal quality testing and coal blending ratio adjustment of the gasifier, ensuring stable operation of the gasifier.
Patent Information
- Application Number
- CN202511197212.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-26
- Publication Date
- 2025-12-09
AI Technical Summary
Existing coal quality testing methods are cumbersome and have long testing cycles, making it difficult to provide real-time guidance for the gasifier production process, which may cause the gasifier to shut down due to coal ash blockage.
By acquiring the NIR and XRF spectra of the coal to be tested, the coal quality test results are extracted. Combined with the ash content and ash melting point prediction models, the coal blending ratio is quickly adjusted to achieve online coal quality testing.
It enables rapid and accurate coal quality testing, shortens the testing cycle, improves testing efficiency, and ensures the normal operation of the gasifier.
Smart Images
Figure CN121090459A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of coal chemical industry, and in particular to the field of coal quality testing technology. Background Technology
[0002] In the field of coal chemical industry, ash content and ash fusion point are particularly important coal quality indicators for gasification units. If the operating temperature is lower than the ash flow temperature, the ash outlet of the gasifier will become blocked, causing poor ash discharge and forcing the gasifier to shut down. Current technologies for coal quality testing in gasifiers mainly rely on traditional laboratory analysis methods. These methods typically require collecting coal samples, performing combustion and other treatments in the laboratory, and then measuring these coal indicators. However, these traditional methods have significant drawbacks: the sample preparation process is cumbersome, the testing cycle is long, and they are difficult to directly use to guide the production process. Summary of the Invention
[0003] This disclosure provides a method, apparatus, equipment, and storage medium for coal quality testing.
[0004] According to a first aspect of this disclosure, a method for coal quality testing is provided. The method includes:
[0005] Obtain the first spectrum of the coal to be tested;
[0006] Obtain the second spectrum of the coal to be tested;
[0007] Based on the first spectrum, the first coal quality test result of the coal to be tested is extracted;
[0008] Based on the second spectrum, extract the second coal quality test result of the coal to be tested;
[0009] Based on the first coal quality test result and the second coal quality test result, the final coal quality test result of the coal to be tested is obtained;
[0010] The coal blending ratio is adjusted based on the final coal quality test results.
[0011] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the first spectrum includes: an NIR spectrum;
[0012] The step of extracting the first coal quality detection result of the coal to be tested based on the first spectrum includes:
[0013] Extract the characteristic peaks of the specified band in the NIR spectrum;
[0014] The first coal quality test result is determined based on the characteristic peaks of the specified band.
[0015] In addition to the aspects and any possible implementations described above, an implementation is further provided in which the second spectrum includes: an XRF spectrum;
[0016] The step of extracting the second coal quality detection result of the coal to be tested based on the second spectrum includes:
[0017] Extract the characteristic peaks of each inorganic element from the XRF spectrum;
[0018] Calculate the peak area of the characteristic peaks of each inorganic element;
[0019] The second coal quality test result of the coal to be tested is obtained based on the peak area of the characteristic peaks of each inorganic element.
[0020] In addition to the aspects and any possible implementations described above, a further implementation is provided in which obtaining the second coal quality detection result of the coal to be tested based on the peak area of the characteristic peaks of each inorganic element includes:
[0021] The content of each inorganic element is determined based on the peak area of its characteristic peak.
[0022] Call the ash content prediction model;
[0023] The content of each inorganic element is input into the ash content prediction model to obtain the ash content of the coal to be tested.
[0024] In addition to the aspects and any possible implementations described above, a further implementation is provided in which obtaining the second coal quality detection result of the coal to be tested based on the peak area of the characteristic peaks of each inorganic element includes:
[0025] Calculate the peak area ratio of the characteristic peaks of each inorganic element based on the peak area of each characteristic peak.
[0026] The characteristic variables of each inorganic element are determined based on the peak area ratio of the characteristic peaks of each inorganic element.
[0027] Call the ash melting point prediction model;
[0028] The characteristic variables of each inorganic element are input into the ash fusion point prediction model to obtain the ash fusion point of the coal to be tested.
[0029] In addition to the aspects and any possible implementations described above, a further implementation is provided, wherein obtaining the final coal quality test result of the coal to be tested based on the first coal quality test result and the second coal quality test result includes:
[0030] Determine the first weighting coefficient for the first coal quality test result;
[0031] Determine a second weighting coefficient for the second coal quality test result; wherein the sum of the first weighting coefficient and the second weighting coefficient is equal to 1;
[0032] Based on the first weighting coefficient and the second weighting coefficient, the first coal quality test result and the second coal quality test result are weighted and summed to obtain the final coal quality test result of the coal to be tested.
[0033] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the final coal quality test results include: final ash content and final ash fusion point;
[0034] The step of adjusting the coal blending ratio based on the final coal quality test results includes:
[0035] The composition of the gas at the gasifier outlet is obtained after the coal to be tested is fed into the gasifier;
[0036] Determine whether the composition of the gas at the gasifier outlet is within the preset gas composition range;
[0037] If the composition of the gas at the gasifier outlet is not within the preset gas composition range, the coal blending ratio shall be adjusted.
[0038] In addition to the aspects and any possible implementations described above, a further implementation is provided in which the final coal quality test results include: final ash content and final ash fusion point;
[0039] The step of adjusting the coal blending ratio based on the final coal quality test results includes:
[0040] Determine whether the final ash content is higher than the preset ash content;
[0041] Determine whether the final ash melting point is higher than the preset ash melting point;
[0042] If the final ash content is higher than the preset ash content, the coal blending ratio is adjusted by increasing the amount of coal with a lower ash content than the preset ash content in the coal to be tested.
[0043] If the final ash fusion point is higher than the preset ash fusion point, the coal blending ratio is adjusted by increasing the amount of coal with an ash fusion point lower than the preset ash fusion point in the coal to be tested.
[0044] According to a second aspect of this disclosure, a coal quality testing device is provided. The device includes:
[0045] The first acquisition module is used to acquire the first spectrum of the coal to be tested;
[0046] The second acquisition module is used to acquire the second spectrum of the coal to be detected;
[0047] The first extraction module is used to extract the first coal quality test result of the coal to be tested based on the first spectrum;
[0048] The second extraction module is used to extract the second coal quality detection result of the coal to be tested based on the second spectrum;
[0049] The third acquisition module is used to obtain the final coal quality test result of the coal to be tested based on the first coal quality test result and the second coal quality test result;
[0050] The adjustment module is used to adjust the coal blending ratio based on the final coal quality test results.
[0051] According to a third aspect of this disclosure, an electronic device is provided. The electronic device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the program to implement the method described above.
[0052] According to a fourth aspect of this disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the method according to a first aspect of this disclosure.
[0053] In this disclosure, by acquiring different spectra of the coal to be tested, a first coal quality test result can be extracted from the first spectrum, and a second coal quality test result can be extracted from the second spectrum. Then, based on the first and second coal quality test results, the final coal quality test result of the coal to be tested can be obtained. Furthermore, based on the final coal quality test result, the coal blending ratio can be automatically adjusted. In this way, the coal quality can be quickly tested using spectroscopy to obtain accurate coal quality test results. This avoids the need to prepare coal samples, burn them, and then test the coal indicators, greatly shortening the coal quality testing procedure, improving the efficiency of coal quality testing, and enabling rapid adjustment of the coal blending ratio.
[0054] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of this disclosure, nor is it intended to restrict the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description
[0055] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the scope of this disclosure. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:
[0056] Figure 1 A flowchart of a coal quality testing method according to an embodiment of the present disclosure is shown;
[0057] Figure 2A block diagram of a coal quality testing apparatus according to an embodiment of the present disclosure is shown;
[0058] Figure 3 A block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure is shown. Detailed Implementation
[0059] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.
[0060] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.
[0061] Figure 1 A flowchart of a coal quality testing method 100 according to an embodiment of the present disclosure is shown. Method 100 may include:
[0062] Step 110: Obtain the first spectrum of the coal to be tested;
[0063] Step 120: Obtain the second spectrum of the coal to be tested;
[0064] Step 130: Extract the first coal quality test result of the coal to be tested based on the first spectrum;
[0065] Step 140: Extract the second coal quality detection result of the coal to be tested based on the second spectrum;
[0066] The first coal quality test result can be the ash content and ash fusion point of the coal to be tested;
[0067] The second coal quality test result can also be the ash content and ash fusion point of the coal to be tested;
[0068] Step 150: Based on the first coal quality test result and the second coal quality test result, obtain the final coal quality test result of the coal to be tested;
[0069] Step 160: Adjust the coal blending ratio based on the final coal quality test results.
[0070] By acquiring different spectra of the coal to be tested, a first coal quality test result can be extracted from the first spectrum, and a second coal quality test result can be extracted from the second spectrum. Then, based on the first and second coal quality test results, the final coal quality test result can be obtained. Subsequently, the coal blending ratio can be automatically adjusted based on the final coal quality test result. In this way, coal quality can be quickly tested using spectroscopy to obtain accurate coal quality test results. This avoids the need to prepare coal samples, burn them, and then test the coal indicators, greatly shortening the coal quality testing process, improving coal quality testing efficiency, and enabling rapid adjustment of the coal blending ratio.
[0071] In some embodiments, the first spectrum includes: an NIR spectrum;
[0072] NIR spectrum, or Near Infrared, is the electromagnetic spectrum between visible light (VIS) and mid-infrared light (MIR).
[0073] The step of extracting the first coal quality detection result of the coal to be tested based on the first spectrum includes:
[0074] Extract the characteristic peaks of the specified band in the NIR spectrum; the characteristic peaks of the specified band are the characteristic peaks of different components in the coal.
[0075] For example, the characteristic peak of Si-Kα is 1.74 keV, the characteristic peak of Al-Kα is 1.49 keV, and the characteristic peak of Fe-Kα is 6.40 keV.
[0076] The first coal quality test result is determined based on the characteristic peaks of the specified band.
[0077] Characteristic peaks in the 1000-2500nm band (such as CH bonds near 1400nm and OH bonds near 1900nm) are extracted using continuous wavelet transform (CWT). Then, characteristic variables related to fixed carbon, volatile matter, and moisture in ash are screened (ash content = 100% - volatile matter - fixed carbon content - moisture). These characteristic variables are closely related to the components in coal, so the first coal quality test result can be obtained based on these characteristic variables.
[0078] In some embodiments, the second spectrum includes: XRF spectrum;
[0079] The step of extracting the second coal quality detection result of the coal to be tested based on the second spectrum includes:
[0080] Extract the characteristic peaks of each inorganic element (i.e., the characteristic peaks of each element in the same band) from the XRF spectrum;
[0081] The inorganic elements can be Si, Al, Fe, Ca, etc.;
[0082] Calculate the peak area of the characteristic peaks of each inorganic element;
[0083] The second coal quality test result of the coal to be tested is obtained based on the peak area of the characteristic peaks of each inorganic element.
[0084] Since the peak area of a characteristic peak can represent the content of inorganic elements, the larger the peak area of the characteristic peak in the band where a certain inorganic element is located, the higher the content of that inorganic element. Therefore, by calculating the peak area of the characteristic peak of each inorganic element, the second coal quality test result of the coal to be tested can be obtained.
[0085] In some embodiments, obtaining the second coal quality test result of the coal to be tested based on the peak area of the characteristic peaks of each inorganic element includes:
[0086] The content of each inorganic element is determined based on the peak area of its characteristic peak.
[0087] Call the ash content prediction model;
[0088] The input to the ash melting point prediction model is the content of inorganic elements in coal, and the output is the ash content of coal.
[0089] The content of each inorganic element is input into the ash content prediction model to obtain the ash content of the coal to be tested.
[0090] Based on the peak area of the characteristic peaks of each inorganic element, the content of each inorganic element can be determined. After calling the ash content prediction model, the ash content of the coal to be tested can be accurately obtained by inputting the content of each inorganic element into the ash content prediction model.
[0091] In some embodiments, obtaining the second coal quality test result of the coal to be tested based on the peak area of the characteristic peaks of each inorganic element includes:
[0092] Calculate the peak area ratio of the characteristic peaks of each inorganic element based on the peak area of each characteristic peak.
[0093] The characteristic variables of each inorganic element are determined based on the peak area ratio of the characteristic peaks of each inorganic element.
[0094] The characteristic variables of each inorganic element are used to characterize the source of inorganic matter in coal, coal composition information, etc.
[0095] For example, the peak area ratios of characteristic peaks of Si / Al and Fe / Ca are often used in coal quality studies to indicate the composition and origin of inorganic mineral phases. Especially in rapid detection or on-site analysis, they can quickly reflect the relative content and distribution characteristics of minerals such as clay minerals, silicates, carbonates and sulfides in coal.
[0096] Call the ash melting point prediction model;
[0097] The input to the ash fusion point prediction model is the characteristic variable of inorganic elements in coal, and the output is the ash fusion point of coal.
[0098] The characteristic variables of each inorganic element are input into the ash fusion point prediction model to obtain the ash fusion point of the coal to be tested.
[0099] Based on the peak area of each inorganic element's characteristic peak, the peak area ratio of each inorganic element's characteristic peak can be calculated. Then, based on the peak area ratio of each inorganic element's characteristic peak, the characteristic variables of each inorganic element can be determined. Subsequently, the ash fusion point prediction model is called, and then the characteristic variables of each inorganic element are input into the ash fusion point prediction model to accurately obtain the ash fusion point of the coal to be tested.
[0100] In some embodiments, obtaining the final coal quality test result of the coal to be tested based on the first coal quality test result and the second coal quality test result includes:
[0101] Determine the first weighting coefficient for the first coal quality test result;
[0102] Determine a second weighting coefficient for the second coal quality test result; wherein the sum of the first weighting coefficient and the second weighting coefficient is equal to 1;
[0103] Based on the first weighting coefficient and the second weighting coefficient, the first coal quality test result and the second coal quality test result are weighted and summed to obtain the final coal quality test result of the coal to be tested.
[0104] The first weighting coefficient and the second weighting coefficient may vary depending on the accuracy of the coal quality test results. For example, if the accuracy of the first coal quality test result is lower than that of the second coal quality test result, the first weighting coefficient will be less than the second weighting coefficient. Therefore, after determining the first weighting coefficient and the second weighting coefficient, the first coal quality test result and the second coal quality test result can be automatically weighted and summed according to the first weighting coefficient and the second weighting coefficient to obtain the final coal quality test result of the coal to be tested, thereby improving the accuracy of the final coal quality test result.
[0105] In some embodiments, the final coal quality test results include: final ash content and final ash fusion point;
[0106] The step of adjusting the coal blending ratio based on the final coal quality test results includes:
[0107] The composition of the gas at the gasifier outlet is obtained after the coal to be tested is fed into the gasifier;
[0108] Determine whether the composition of the gas at the gasifier outlet is within the preset gas composition range;
[0109] If the composition of the gas at the gasifier outlet is not within the preset gas composition range, the coal blending ratio shall be adjusted.
[0110] If the composition of the gas at the gasifier outlet is higher than the upper limit of the preset gas composition range or lower than the lower limit of the preset gas composition range, such as by real-time collection of the gasifier outlet gas composition (e.g., CO and H concentration) and slag viscosity, if the effective gas composition is lower than the threshold (e.g., 85%) or the slag viscosity is abnormal (>50 poise), it indicates that the current coal type ratio of the coal to be tested is inappropriate, resulting in unqualified composition after coal combustion. Therefore, the coal blending ratio can be adjusted. In the above case, the amount of melting point coal in the medium ash content of the coal to be tested can be increased by 1-2% to ensure that the coal blending ratio of the coal to be tested is appropriate.
[0111] In some embodiments, the final coal quality test results include: final ash content and final ash fusion point;
[0112] The step of adjusting the coal blending ratio based on the final coal quality test results includes:
[0113] Determine whether the final ash content is higher than the preset ash content;
[0114] Determine whether the final ash melting point is higher than the preset ash melting point;
[0115] If the final ash content is higher than the preset ash content, the coal blending ratio is adjusted by increasing the amount of coal with a lower ash content than the preset ash content (i.e., low-ash coal) in the coal to be tested.
[0116] If the final ash fusion point is higher than the preset ash fusion point, the coal blending ratio is adjusted by increasing the amount of coal with a lower ash fusion point than the preset ash fusion point (i.e., low ash fusion point coal) in the coal to be tested.
[0117] If the final ash content is higher than the preset ash content, it indicates that the proportion of high-ash coal in the coal to be tested is relatively large. Therefore, the coal blending ratio can be adjusted by increasing the amount of coal with ash content lower than the preset ash content in the coal to be tested.
[0118] If the final ash fusion point is higher than the preset ash fusion point, it indicates that the proportion of high ash fusion point coal in the coal to be tested is relatively large. Therefore, the coal blending ratio can be adjusted by increasing the amount of low ash fusion point coal in the coal to be tested.
[0119] For example: Construct a dynamic mapping table of "ash content - ash fusion point - coal blending ratio":
[0120] The coal to be tested is pre-selected to contain three basic coal types (A: high ash content and low melting point; B: medium ash content and medium melting point; C: low ash content and high melting point).
[0121] If the predicted ash content (i.e., final ash content) of the coal to be tested is higher than the optimal ash content of the gasifier (e.g., 15%), then increase the proportion of low ash coal type C (for every 1% increase in ash content, the proportion of C increases by 2%); if the predicted DT (i.e., final ash melting point) of the coal to be tested is higher than the optimal value (e.g., 1300℃), then increase the proportion of low melting point coal type A (for every 50℃ increase, the proportion of A increases by 3%).
[0122] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this disclosure is not limited to the described order of actions, because according to this disclosure, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to this disclosure.
[0123] The above is an introduction to the method embodiments. The following describes the solution described in this disclosure further through device embodiments.
[0124] Figure 2 A block diagram of a coal quality testing apparatus 200 according to an embodiment of the present disclosure is shown. Figure 2 As shown, the device 200 includes:
[0125] The first acquisition module 210 is used to acquire the first spectrum of the coal to be detected;
[0126] The second acquisition module 220 is used to acquire the second spectrum of the coal to be detected;
[0127] The first extraction module 230 is used to extract the first coal quality test result of the coal to be tested based on the first spectrum;
[0128] The second extraction module 240 is used to extract the second coal quality detection result of the coal to be tested based on the second spectrum;
[0129] The third acquisition module 250 is used to obtain the final coal quality test result of the coal to be tested based on the first coal quality test result and the second coal quality test result;
[0130] The adjustment module 260 is used to adjust the coal blending ratio based on the final coal quality test results.
[0131] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the described module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.
[0132] According to embodiments of the present disclosure, the present disclosure also provides an electronic device and a non-transitory computer-readable storage medium storing computer instructions.
[0133] Figure 3 A schematic block diagram of an electronic device 800 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.
[0134] Device 800 includes a computing unit 801, which can perform various appropriate actions and processes based on a computer program stored in read-only memory (ROM) 802 or a computer program loaded from storage unit 808 into random access memory (RAM) 803. RAM 803 may also store various programs and data required for the operation of device 800. The computing unit 801, ROM 802, and RAM 803 are interconnected via bus 804. Input / output (I / O) interface 805 is also connected to bus 804.
[0135] Multiple components in device 800 are connected to I / O interface 805, including: input unit 806, such as keyboard, mouse, etc.; output unit 807, such as various types of monitors, speakers, etc.; storage unit 808, such as disk, optical disk, etc.; and communication unit 809, such as network card, modem, wireless transceiver, etc. Communication unit 809 allows device 800 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.
[0136] The computing unit 801 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 801 performs the various methods and processes described above, such as method 100. For example, in some embodiments, method 100 may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program may be loaded and / or installed on device 800 via ROM 802 and / or communication unit 809. When the computer program is loaded into RAM 803 and executed by the computing unit 801, one or more steps of method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform method 100 by any other suitable means (e.g., by means of firmware).
[0137] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.
[0138] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.
[0139] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0140] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).
[0141] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with embodiments of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.
[0142] Computing systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.
[0143] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.
[0144] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.
Claims
1. A method for testing coal quality, characterized in that, include: Obtain the first spectrum of the coal to be tested; Obtain the second spectrum of the coal to be tested; Based on the first spectrum, the first coal quality test result of the coal to be tested is extracted; Based on the second spectrum, extract the second coal quality test result of the coal to be tested; Based on the first coal quality test result and the second coal quality test result, the final coal quality test result of the coal to be tested is obtained; The coal blending ratio is adjusted based on the final coal quality test results.
2. The method as described in claim 1, characterized in that, The first spectrum includes: NIR spectrum; The step of extracting the first coal quality detection result of the coal to be tested based on the first spectrum includes: Extract the characteristic peaks of the specified band in the NIR spectrum; The first coal quality test result is determined based on the characteristic peaks of the specified band.
3. The method as described in claim 1, characterized in that, The second spectrum includes: XRF spectrum; The step of extracting the second coal quality detection result of the coal to be tested based on the second spectrum includes: Extract the characteristic peaks of each inorganic element from the XRF spectrum; Calculate the peak area of the characteristic peaks of each inorganic element; The second coal quality test result of the coal to be tested is obtained based on the peak area of the characteristic peaks of each inorganic element.
4. The method as described in claim 3, characterized in that, The step of obtaining the second coal quality test result of the coal to be tested based on the peak area of the characteristic peaks of each inorganic element includes: The content of each inorganic element is determined based on the peak area of its characteristic peak. Call the ash content prediction model; The content of each inorganic element is input into the ash content prediction model to obtain the ash content of the coal to be tested.
5. The method as described in claim 3, characterized in that, The step of obtaining the second coal quality test result of the coal to be tested based on the peak area of the characteristic peaks of each inorganic element includes: Calculate the peak area ratio of the characteristic peaks of each inorganic element based on the peak area of each characteristic peak. The characteristic variables of each inorganic element are determined based on the peak area ratio of the characteristic peaks of each inorganic element. Call the ash melting point prediction model; The characteristic variables of each inorganic element are input into the ash fusion point prediction model to obtain the ash fusion point of the coal to be tested.
6. The method as described in claim 1, characterized in that, The step of obtaining the final coal quality test result of the coal to be tested based on the first coal quality test result and the second coal quality test result includes: Determine the first weighting coefficient for the first coal quality test result; Determine a second weighting coefficient for the second coal quality test result; wherein the sum of the first weighting coefficient and the second weighting coefficient is equal to 1; Based on the first weighting coefficient and the second weighting coefficient, the first coal quality test result and the second coal quality test result are weighted and summed to obtain the final coal quality test result of the coal to be tested.
7. The method as described in claim 1, characterized in that, The final coal quality test results include: final ash content and final ash fusion point; The step of adjusting the coal blending ratio based on the final coal quality test results includes: The composition of the gas at the gasifier outlet is obtained after the coal to be tested is fed into the gasifier; Determine whether the composition of the gas at the gasifier outlet is within the preset gas composition range; If the composition of the gas at the gasifier outlet is not within the preset gas composition range, the coal blending ratio shall be adjusted.
8. The method according to any one of claims 1 to 7, characterized in that, The final coal quality test results include: final ash content and final ash fusion point; The step of adjusting the coal blending ratio based on the final coal quality test results includes: Determine whether the final ash content is higher than the preset ash content; Determine whether the final ash melting point is higher than the preset ash melting point; If the final ash content is higher than the preset ash content, the coal blending ratio is adjusted by increasing the amount of coal with a lower ash content than the preset ash content in the coal to be tested. If the final ash fusion point is higher than the preset ash fusion point, the coal blending ratio is adjusted by increasing the amount of coal with an ash fusion point lower than the preset ash fusion point in the coal to be tested.
9. A coal quality testing device, characterized in that, include: The first acquisition module is used to acquire the first spectrum of the coal to be tested; The second acquisition module is used to acquire the second spectrum of the coal to be detected; The first extraction module is used to extract the first coal quality test result of the coal to be tested based on the first spectrum; The second extraction module is used to extract the second coal quality detection result of the coal to be tested based on the second spectrum; The third acquisition module is used to obtain the final coal quality test result of the coal to be tested based on the first coal quality test result and the second coal quality test result; The adjustment module is used to adjust the coal blending ratio based on the final coal quality test results.
10. An electronic device, characterized in that, include: Memory and processor The memory stores a computer program, and when the processor executes the program, it implements the method as described in any one of claims 1-8.