Coal blending method and device, computer device and storage medium

Abstract

The application relates to a coal blending method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining blending ratios of multiple coal types, blending the multiple coal types based on the blending ratios to obtain blended coal types, obtaining combustion condition monitoring data of a boiler when the blended coal types are combusted in the boiler, and adjusting the blending ratios of the multiple coal types or operation parameters of the boiler based on the combustion condition monitoring data of the boiler when it is determined that the combustion condition of the boiler does not meet a preset unit load demand, and the step of obtaining the combustion condition monitoring data of the boiler when the blended coal types are combusted in the boiler is re-executed until the combustion condition of the boiler meets the preset unit load demand. The method can improve the accuracy of coal blending.

Description

Technical Field

[0001] This application relates to the field of coal-fired power generation operation technology, and in particular to a coal blending method, apparatus, computer equipment, storage medium and computer program product. Background Technology

[0002] With the development of the power system, coal-fired power plants are an important part of the current power system. Their boiler combustion systems usually rely on the blending and combustion of coal of different sources and qualities to meet heat demand while controlling operating costs.

[0003] Traditional coal blending methods mostly rely on the operational experience of operators. Before burning coal, operators determine the blending ratio based on experience and coal type, and the blending plan is formulated solely based on static analysis.

[0004] However, the above-mentioned coal blending methods rely too much on the experience of operators and are highly subjective. When the boiler operating conditions are complex, it is often difficult to achieve accurate coal blending. Furthermore, the boiler operating conditions are dynamic and may also lead to a mismatch between the coal blending scheme and the actual operating conditions. In other words, the accuracy of traditional coal blending methods is low. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for blending coal, which can improve the accuracy of coal blending, in order to address the above-mentioned technical problems.

[0006] Firstly, this application provides a method for blending coal. The method includes:

[0007] Obtain the blending ratio of multiple coal types;

[0008] Based on the blending ratio, multiple coal types are blended to obtain blended coal types;

[0009] When the blended coal is burned in the boiler, the combustion condition monitoring data of the boiler is obtained;

[0010] If, based on the combustion condition monitoring data of the boiler, it is determined that the combustion condition of the boiler does not meet the preset unit load requirements, the blending ratio of multiple coal types or the operating parameters of the boiler are adjusted based on the combustion condition monitoring data of the boiler.

[0011] Repeat the step of obtaining the boiler combustion condition monitoring data when the blended coal is burned in the boiler until the boiler combustion condition meets the preset unit load requirements.

[0012] In one embodiment, adjusting the blending ratio of multiple coal types or the operating parameters of the boiler based on the boiler's combustion condition monitoring data includes:

[0013] Based on the combustion condition monitoring data of the boiler, with the goal of meeting the preset unit load demand, the operating parameters of the boiler are optimized, and the optimized operating parameters of the boiler are determined.

[0014] The verification results were obtained by confirming whether the combustion conditions of the boiler, when operating with optimized operating parameters, meet the preset unit load requirements.

[0015] Based on the verification results, the blending ratio of multiple coal types or the operating parameters of the boiler are adjusted.

[0016] In one embodiment, adjusting the blending ratio of multiple coal types or the operating parameters of the boiler based on the verification results includes:

[0017] If the blended coal meets the preset unit load requirements when the boiler is operating with optimized operating parameters, then the operating parameters of the boiler are updated based on the optimized operating parameters.

[0018] If the blended coal does not meet the preset unit load requirements when the boiler is operating with optimized operating parameters, the blending ratio of the multiple coal types will be adjusted based on the boiler's combustion condition monitoring data.

[0019] In one embodiment, the boiler combustion condition monitoring data includes boiler combustion characteristic parameters and boiler heating surface state parameters. Based on the boiler combustion condition monitoring data, adjusting the blending ratio of the multiple coal types includes:

[0020] Based on the boiler combustion characteristic parameters and boiler heating surface condition parameters, the blending ratio of the multiple coal types is adjusted.

[0021] In one embodiment, adjusting the blending ratio of the multiple coal types based on the combustion condition monitoring data of the boiler includes:

[0022] Based on the combustion condition monitoring data of the boiler, the coal type structure of the multiple coal types is adjusted;

[0023] Based on the adjusted coal type structure of multiple coal types, the blending ratio of the multiple coal types is adjusted.

[0024] In one embodiment, the combustion condition monitoring data of the boiler includes the amount of steam generated by the boiler, the oxygen content in the furnace, the carbon content of the slag, and the carbon content of the fly ash. The method further includes:

[0025] If the amount of steam generated by the boiler is greater than a preset steam threshold, the oxygen content in the furnace is greater than a preset oxygen content threshold, the carbon content is within a preset range of slag carbon content, and the fly ash carbon content is within a preset range of fly ash carbon content, then the blended coal type is determined to meet the preset unit load requirements.

[0026] Secondly, this application also provides a coal blending device. The device includes:

[0027] The data acquisition module is used to obtain the blending ratio of multiple coal types;

[0028] The blending module is used to blend multiple coal types based on the blending ratio to obtain the blended coal type;

[0029] The operating condition monitoring module is used to acquire combustion condition monitoring data of the boiler when the blended coal is burned in the boiler.

[0030] The adjustment module is used to adjust the blending ratio of multiple coal types or the operating parameters of the boiler based on the boiler combustion condition monitoring data. This adjustment is performed when the boiler combustion condition does not meet the preset unit load requirements. The module then controls the operation condition monitoring module to obtain the boiler combustion condition monitoring data when the blended coal types are burned in the boiler, until the boiler combustion condition meets the preset unit load requirements.

[0031] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps described in the above-described coal blending method embodiments.

[0032] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements the steps in the above-described coal blending method embodiments.

[0033] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the steps described in the embodiments of the coal blending method.

[0034] The aforementioned coal blending method, apparatus, computer equipment, storage medium, and computer program product acquire the blending ratios of multiple coal types and blend them accordingly. When the blended coal is burned in the boiler, the boiler's combustion conditions are monitored to understand its performance in real time. Furthermore, if the boiler's combustion conditions, based on the monitoring data, do not meet the preset unit load requirements, the blending ratios of the multiple coal types or the boiler's operating parameters are adjusted. This adjustment process is dynamic and real-time, based on the actual boiler operation, effectively alleviating the problem of mismatch between the coal blending scheme and actual operating conditions in traditional methods. Moreover, after adjusting the blending ratios of the multiple coal types or the boiler's operating parameters, the step of acquiring combustion condition monitoring data is repeated until the blended coal meets the preset unit load requirements. This dynamic, real-time adjustment mechanism allows the final coal blending scheme to adapt to complex operating conditions, improving the accuracy and reliability of coal blending. Attached Figure Description

[0035] Figure 1 This is an application environment diagram of the coal blending method in one embodiment;

[0036] Figure 2 This is a flowchart illustrating a coal blending method in one embodiment;

[0037] Figure 3 This is a flowchart illustrating the adjustment steps in one embodiment;

[0038] Figure 4 This is a flowchart illustrating the adjustment steps in another embodiment;

[0039] Figure 5 This is a flowchart illustrating the coal blending method in a detailed embodiment;

[0040] Figure 6 This is a structural block diagram of a coal blending device in one embodiment;

[0041] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0042] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0043] The coal blending method provided in this application embodiment can be applied to, for example... Figure 1In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104, or it can be located in the cloud or on another network server.

[0044] Specifically, the operator can upload the blending ratios of multiple coal types to the server 104 via terminal 102. Based on the blending ratios, the server 104 controls the corresponding actuators to blend the multiple coal types, resulting in blended coal. After the blended coal is fed into the boiler for combustion, the operator collects combustion condition monitoring data of the boiler while the blended coal is burning in the boiler using a detection device inside the boiler. This combustion condition monitoring data is then uploaded to the server 104 via terminal 102. If the server 104 determines that the boiler's combustion condition does not meet the preset unit load requirements based on the boiler's combustion condition monitoring data, the server 104 adjusts the blending ratios of the multiple coal types or the boiler's operating parameters based on the boiler's combustion condition monitoring data. The server 104 continuously collects combustion condition monitoring data of the boiler while the blended coal is burning in the boiler, continuously adjusting the blending ratios of the multiple coal types or the boiler's operating parameters until the boiler's combustion condition meets the preset unit load requirements.

[0045] The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle systems. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. The server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0046] In one embodiment, such as Figure 2 As shown, a method for blending coal is provided, which is applied to... Figure 1 Taking server 104 as an example, the following steps are included:

[0047] S100 is used to obtain the blending ratio of multiple coal types.

[0048] Among them, coal type refers to coal types with different physicochemical properties, and blending ratio refers to the mass or volume percentage of each coal type in the blended coal when multiple coal types are used together.

[0049] It is understandable that there are various ways to obtain the blending ratio, and no specific method is used here. For example, historical experience data can be referenced to determine the blending ratio of multiple coal types based on the successful blending ratios of similar units under different operating conditions. Alternatively, the blending ratio of multiple coal types can be determined by combining the characteristic parameters of each coal type with a pre-set mathematical model (which can be specified based on historical coal blending ratios). For instance, based on the historical blending ratios of thermal power plants, it can be found that blending 60% bituminous coal and 40% lignite achieves good combustion results under specific unit load requirements, thus determining the blending ratio. Another method is to obtain coal quality test data from the plant, including but not limited to the calorific value, moisture, volatile matter, ash content, sulfur content, and alkali-acid ratio of each coal type. This data, combined with the requirements for the coal fed into the furnace (which can be referenced to boiler design and coal parameters to ensure that the coal quality parameters of the coal fed into the furnace do not deviate significantly from the preset coal quality parameter values), can be analyzed to determine the blending ratio of the coal types.

[0050] S200, based on the blending ratio, blends multiple coal types to obtain the blended coal type.

[0051] Among them, blending is the process of mixing different types of coal according to the blending ratio determined in the above steps.

[0052] Specifically, blending methods can include mechanical mixing, using specialized mixing equipment to feed different coal types into the equipment in proportion, and achieving thorough mixing through the rotation of the mixing blades. Alternatively, a server can control specific actuators to mix multiple coal types with a predetermined blending ratio. For example, in a thermal power plant, different coal types are transported to a mixing bin via belt conveyors. By controlling the conveying volume of each coal type, the blending ratio of the coal types delivered to the mixing bin is adjusted. Then, actuators within the mixing bin are controlled to stir the coal types, further ensuring uniform mixing and obtaining the blended coal mixture.

[0053] S300 acquires boiler combustion condition monitoring data when the boiler is burning blended coal.

[0054] The boiler is the site where blended coal is burned, releasing heat energy. Combustion conditions refer to the working state of the coal during combustion in the boiler, including but not limited to furnace temperature, flame shape, flue gas composition, and combustion efficiency. Combustion condition monitoring data refers to the real-time data collected by various sensors and monitoring equipment installed on the boiler and other units regarding combustion conditions. This data is used to determine whether the boiler's combustion conditions are normal and whether they meet the unit's load requirements.

[0055] Specifically, the blended coal is fed into a pulverizing system, processed, and then transported to the boiler furnace for combustion. During combustion, sensors (such as temperature sensors, pressure sensors, and gas composition analyzers) and monitoring equipment installed inside the boiler continuously collect combustion data in real time. For example, the furnace temperature is obtained through a temperature sensor, the content of gases such as oxygen, carbon monoxide, and sulfur dioxide in the flue gas is detected using a flue gas analyzer, and the furnace pressure is monitored by a pressure sensor. The data collected by these sensors and monitoring equipment is transmitted to a server via a data transmission system (such as a wired network or wireless network) for subsequent analysis to determine whether the boiler's combustion conditions meet the unit's load requirements. For example, based on the preset unit load demand, the required rated steam volume and the amount of heat required to produce the rated steam volume can be calculated. Then, the calorific value and coal feed rate of the coal entering the furnace can be calculated. When the actual coal entering the boiler for combustion meets the calorific value range and coal feed rate range, and the boiler is operating normally, the oxygen in the furnace is sufficient, and the carbon content of the slag and fly ash is within the allowable range, it can be considered that the boiler's combustion conditions can meet the unit load demand.

[0056] S400, based on boiler combustion condition monitoring data, determines whether the boiler combustion condition meets the preset unit load requirements.

[0057] Unit load demand refers to the power generation or energy output level required by a generator unit under different operating conditions to meet power supply and grid dispatch requirements. It can be understood that different unit load demands correspond to different boiler operating parameters and combustion conditions.

[0058] Specifically, the boiler combustion condition monitoring data collected in the above steps can be compared and analyzed with the pre-set unit load demand standards. For example, based on the preset unit load demand, a series of corresponding combustion condition parameter ranges can be set, such as furnace temperature range, lower limit of combustion efficiency, and flue gas composition standards. By judging whether each parameter in the combustion condition monitoring data is within the set combustion condition parameter range, when all parameters are within the set range, it can be determined that the boiler combustion condition meets the preset unit load demand; conversely, if one or more parameters exceed the range, it is determined that the boiler combustion condition does not meet the preset unit load demand. For example, when the unit load demand is 500MW, the set furnace temperature should be maintained at 900-1100℃. If the combustion condition monitoring data shows that the furnace temperature is 850℃, it is determined that the boiler combustion condition does not meet the unit load demand.

[0059] S500: If the boiler combustion condition monitoring data determines that the boiler combustion condition does not meet the preset unit load requirements, S300 is re-executed based on the boiler combustion condition monitoring data to adjust the blending ratio of multiple coal types or the boiler operating parameters until the boiler combustion condition meets the preset unit load requirements.

[0060] Among them, operating parameters are the adjustable and controllable parameters of the boiler during operation, including but not limited to coal feed rate, air volume, secondary air volume, induced draft volume, furnace negative pressure, steam pressure, and steam temperature.

[0061] Specifically, when it is determined that the boiler combustion conditions do not meet the preset unit load requirements, the reasons for this discrepancy can be analyzed based on the combustion condition monitoring data. These reasons may include insufficient evaporation, mains and reheat temperatures below the current combustion temperature requirements, abnormal combustion leading to high flue gas temperature, or high heating surface wall temperature. Adjustments can then be made to the coal blending ratio or boiler operating parameters. For example, if incomplete combustion or low combustion efficiency is due to a mismatch between the combustion performance of the coal and the current unit load, the blending ratios of multiple coal types can be readjusted, such as increasing the proportion of high-volatile coals to improve ignition performance. If the boiler operating parameters are improperly set, such as inappropriate airflow ratios or unstable furnace negative pressure, the corresponding operating parameters can be adjusted, such as increasing the primary airflow to enhance pulverized coal transport and combustion, or adjusting the induced draft to stabilize the furnace negative pressure. After adjustment, S300 is executed again to continue collecting the adjusted combustion condition monitoring data, and the above process is repeated until the combustion conditions meet the unit load requirements. Furthermore, since adjusting the coal blending ratio is usually more complicated than adjusting the boiler operating parameters, it's advisable to prioritize adjusting the boiler operating parameters. Only if adjusting the operating parameters fails to meet the preset unit load requirements should the coal blending ratio be considered. Understandably, if the combustion monitoring data is normal, the current blending ratio can continue to be used for coal blending and combustion.

[0062] In this embodiment, the above-mentioned coal blending method obtains the blending ratios of multiple coal types and blends them based on these ratios. When the blended coal types are burned in the boiler, the boiler's combustion conditions are monitored to understand the performance of the blended coal types in the actual combustion process in real time. Furthermore, if the boiler's combustion conditions are determined to be unsatisfactory based on the boiler's combustion condition monitoring data, the blending ratios of the multiple coal types or the boiler's operating parameters are adjusted based on the boiler's combustion conditions. This adjustment process is dynamic and real-time, based on the actual operating conditions of the boiler, effectively alleviating the problem of mismatch between the coal blending scheme and the actual operating conditions in traditional methods. Moreover, after adjusting the blending ratios of the multiple coal types or the boiler's operating parameters, the step of obtaining combustion condition monitoring data is repeated until the blended coal types meet the preset unit load requirements. This dynamic real-time adjustment mechanism allows the final coal blending scheme to adapt to complex operating conditions, improving the accuracy and reliability of coal blending.

[0063] In one embodiment, such as Figure 3 As shown, S500 includes:

[0064] S510, based on boiler combustion condition monitoring data, optimizes boiler operating parameters to meet preset unit load requirements and determines the optimized operating parameters of the boiler.

[0065] S520 verifies whether the boiler's combustion conditions meet the preset unit load requirements when the boiler is operating with optimized operating parameters, and obtains the verification results.

[0066] S530, based on the verification results, adjusts the blending ratio of multiple coal types or the operating parameters of the boiler.

[0067] Optimization refers to analyzing and optimizing the existing operating parameters of the boiler to find parameters that enable the boiler to achieve higher combustion efficiency, lower energy consumption, and more stable operation while meeting the preset unit load requirements. Verification involves checking and confirming the actual effect of the boiler operating according to the optimized parameters to determine whether the preset unit load requirements have been met. This verification process can be either simulation or actual verification, such as simulation analysis using a boiler operating characteristic model.

[0068] For example, based on boiler combustion condition monitoring data, the relationship between current operating parameters and preset unit load requirements can be analyzed first. For instance, if combustion condition monitoring data shows that the furnace temperature is low and steam production is insufficient, it may indicate insufficient coal feed or an unreasonable air volume ratio. Then, specific optimization algorithms, such as genetic algorithms or particle swarm optimization algorithms, combined with the boiler's operating characteristic model (which can be pre-set by the operator), can be used to adjust and calculate the boiler's operating parameters. In the above optimization analysis process, the goal is to meet the preset unit load requirements, while also considering other indicators such as combustion efficiency and pollutant emissions. After multiple iterative calculations, the optimized operating parameters are finally determined.

[0069] Taking simulation verification as an example, after determining the optimized operating parameters, the boiler's combustion conditions can be analyzed using the boiler's operating characteristic model to determine whether they meet the preset unit load requirements. Alternatively, the boiler can be switched to the optimized operating parameters and run for a period of time, then the combustion conditions monitoring data can be collected in real time using sensors or monitoring equipment installed inside the boiler, such as temperature sensors, pressure sensors, and gas composition analyzers. The collected combustion conditions monitoring data is then compared in detail with the preset unit load requirement standards. If all parameters of the combustion conditions monitoring data are within the standard range, it can be determined that the boiler's combustion conditions meet the preset unit load requirements; conversely, if any parameter fails to meet the standard, it can be determined that the boiler's combustion conditions do not meet the preset unit load requirements, thus obtaining the verification result.

[0070] Furthermore, if the verification results show that the boiler's combustion conditions meet the preset unit load requirements, and other indicators (such as combustion efficiency, pollutant emissions, and equipment stability) are also in good condition, then the current coal blending ratio should be maintained, and the boiler should be operated with optimized operating parameters. If the verification results show that the combustion conditions do not meet the preset unit load requirements, then the coal blending ratio needs to be readjusted. For example, the proportion of high-volatile coal can be increased to improve the ignition performance of the mixed coal, or the proportion of different coal types can be adjusted to optimize the calorific value of the mixed coal to meet the unit load requirements. After the adjustment, it is necessary to re-analyze whether the boiler's combustion conditions can meet the preset unit load requirements until the boiler's combustion conditions stably meet the preset unit load requirements.

[0071] In this embodiment, optimizing the boiler's operating parameters can improve its operational performance. While meeting the preset unit load requirements, it also increases combustion efficiency and reduces coal consumption. Furthermore, by verifying whether the optimized operating parameters enable the boiler's combustion conditions to meet the preset unit load, it's possible to promptly identify whether the optimized parameters have truly solved any existing problems, ensuring the boiler can stably meet the unit load requirements. If the verification results show that the requirements are met, then operation can continue according to the optimized parameters. If the requirements are not met, adjusting the coal blending ratio can improve the combustion performance of the mixed coal, making it more suitable for the boiler's combustion characteristics. This continuous adjustment and optimization process can improve the overall operating efficiency of the thermal power plant.

[0072] In one embodiment, such as Figure 4 As shown, S530 includes:

[0073] S531 If the blended coal type meets the preset unit load requirements when the boiler is operating with optimized operating parameters, then the boiler operating parameters are updated based on the optimized operating parameters.

[0074] S532 If the blended coal does not meet the preset unit load requirements when the boiler is operating with optimized operating parameters, the blending ratio of multiple coal types will be adjusted based on the boiler combustion condition monitoring data.

[0075] Following the above embodiments, when verification results show that the blended coal can meet the preset unit load requirements when the boiler is running with optimized operating parameters, and the combustion conditions are stable, and all operating indicators (such as combustion efficiency, pollutant emissions, steam quality, etc.) meet the requirements, the optimized operating parameters can then be written into the boiler's operation control program. For example, if the optimized coal feed rate is adjusted from 50 tons per hour to 55 tons per hour, and the primary air volume is adjusted from 300,000 cubic meters per hour to 320,000 cubic meters per hour, the boiler can be controlled to perform coal feeding and air distribution operations according to the new operating parameters during subsequent operation to meet the preset unit load requirements.

[0076] When the boiler is running with optimized operating parameters, and the blended coal still fails to meet the preset unit load requirements, combustion monitoring data can be analyzed. First, the combustion monitoring data is used to determine which combustion characteristics are not meeting requirements. For example, if the furnace temperature is low or combustion is incomplete, it may indicate poor ignition performance or insufficient calorific value of the blended coal. Then, the coal blending ratio is adjusted accordingly based on the analysis results. For instance, if an excessively high proportion of low-volatile matter coal leads to ignition difficulties, the proportion of high-volatile matter coal is appropriately increased; if the overall calorific value of the blended coal is low, the proportion of high-calorific-value coal is increased. During the adjustment of the coal blending ratio, other factors, such as the sulfur and ash content of the coal, can also be considered. After adjustment, multiple coal types are re-blended to obtain a new blended coal mixture, and subsequent combustion tests and verifications are conducted again until the boiler's combustion conditions meet the preset unit load requirements.

[0077] In this embodiment, by updating the boiler's operating parameters, the boiler's combustion efficiency can be improved to stably output the required energy and meet the preset unit load demand. Furthermore, by rationally adjusting the blending ratio of multiple coal types, the ignition stability of the mixed coal can be improved, the combustion speed can be accelerated, and the heat released during combustion can be increased, thereby increasing steam production to meet the unit load demand. Both of these methods can improve the boiler's combustion conditions, thus enabling it to quickly meet the unit load requirements.

[0078] In one embodiment, the boiler combustion condition monitoring data includes boiler combustion characteristic parameters and boiler heating surface condition parameters. Based on the boiler combustion condition monitoring data, adjusting the blending ratio of multiple coal types includes: adjusting the blending ratio of multiple coal types based on the boiler combustion characteristic parameters and boiler heating surface condition parameters.

[0079] Among them, boiler combustion characteristic parameters are a series of parameters used to describe the characteristics of the coal combustion process in the boiler, reflecting the quality and efficiency of combustion. These include, but are not limited to, changes in the calorific value of the coal fed into the boiler, analysis of the carbon content of slag and fly ash, changes in the amount of desuperheating water, and flue gas temperature at the furnace outlet. The calorific value of the coal fed into the boiler determines the energy released by the combustion of the coal; the carbon content of the slag and fly ash reflects the degree of combustion completeness; changes in the amount of desuperheating water reflect the regulation of steam temperature; and the flue gas temperature at the furnace outlet is related to the combustion efficiency and the working state of the subsequent heating surfaces.

[0080] Boiler heating surface condition parameters characterize the working condition of the boiler heating surfaces. These include, but are not limited to, the coking and ash accumulation on the boiler burners, water-cooled walls, superheaters, and tail flue; comparisons of metal wall temperature changes on each heating surface; changes in slag at the furnace bottom; slag accumulation on the water-cooled walls and burner nozzles observed through inspection holes; changes in pulverizing system output; and increases in total coal consumption. Coking, ash accumulation, and slag buildup on the heating surfaces affect heat transfer efficiency. Changes in metal wall temperature reflect the uniformity and safety of heating on the heating surfaces. Changes in slag at the furnace bottom can help determine the combustion status. Changes in pulverizing system output and total coal consumption are related to combustion stability and unit load requirements.

[0081] For example, if the calorific value of the coal fed into the furnace is low, it may result in insufficient steam production, failing to meet the unit's load requirements. In this case, increasing the blending ratio of high-calorific-value coal can be considered to improve the overall calorific value of the mixed coal. If the carbon content of the slag and fly ash is too high, it indicates incomplete combustion. The blending ratio can be adjusted to optimize the volatile matter and fixed carbon ratio of the coal, improving combustion efficiency. If the change in desuperheating water is too large, it means the steam temperature is too high. The coal blending needs to be adjusted to change the center position of the combustion flame or the combustion intensity to reduce the steam temperature. If the flue gas temperature at the furnace outlet is too high, it may be due to overly intense combustion or insufficient heat absorption by the heating surfaces. The flue gas temperature at the furnace outlet can be reduced by adjusting the blending ratio to change the combustion characteristics. If there is coking or ash accumulation on the heating surfaces such as the boiler burners, water-cooled walls, screen superheaters, and tail flue, it affects heat transfer efficiency, leading to a decrease in steam production or abnormal metal wall temperatures. In this case, the coal blending ratio can be adjusted, selecting coals with higher ash melting points and lower coking tendency to reduce coking and ash accumulation. Abnormal temperature variations across the metal walls of different heating surfaces indicate uneven heating, which may be related to the shape and position of the combustion flame. Adjusting the blending ratio can optimize the combustion process and achieve more uniform heating. Abnormal changes in slag volume at the furnace bottom, such as a sudden increase, may indicate incomplete combustion or changes in coal ash content. Adjusting the blending ratio is necessary to ensure combustion stability. Slagging observed on the water-cooled walls and burner nozzles through the inspection holes allows for adjustments to the ash and sulfur content of the coal, altering the slagging characteristics. Changes in the pulverizing system output and the increase in total coal consumption reflect the fuel demand. If the pulverizing system output is insufficient or the total coal consumption continues to increase but still cannot meet the unit's load requirements, the blending ratio needs to be adjusted, selecting a coal combination that is easier to grind and has better combustion performance.

[0082] In this embodiment, by adjusting the blending ratio according to combustion characteristic parameters, the combustion of the mixed coal can be more complete, reducing incomplete combustion losses and improving combustion efficiency, thereby better meeting the unit load requirements. Adjusting the blending ratio according to the heating surface condition parameters can effectively reduce coking, ash accumulation, and slagging on the heating surface, extending the boiler's service life. By comprehensively considering the above-mentioned parameters and adjusting the blending ratio, the boiler operation can be more stable, improving the overall operational stability of the unit and thus better meeting the unit load requirements.

[0083] In one embodiment, S532 includes: adjusting the coal type structure of multiple coal types based on boiler combustion condition monitoring data, and adjusting the blending ratio of multiple coal types based on the adjusted coal type structure.

[0084] Among them, coal type structure refers to the combination of different coal types involved in blending. For example, in a thermal power plant, the original coal types involved in blending are A, B, and C. This is one type of coal type structure. If, due to combustion conditions, it is decided to introduce a new coal type D to replace coal type C, then the combination of A, B, and D is the new coal type structure.

[0085] For example, when boiler combustion monitoring data shows that the current boiler combustion conditions do not meet the preset unit load requirements, the characteristics of different coal types can be analyzed to determine which coal types are causing these problems. For instance, if severe coking is found on the boiler heating surfaces, and analysis reveals that a certain coal type's ash content makes it prone to coking under the current combustion conditions, then removing that coal type from the blending coal mix or introducing a coal type with a higher ash melting point and less tendency to coke can be considered. As another example, if combustion monitoring data indicates that sulfur dioxide emissions from combustion exceed standards, and high-sulfur coal types constitute a large proportion of the existing coal mix, then reducing high-sulfur coal types and increasing low-sulfur coal types can be considered to adjust the coal mix structure.

[0086] After adjusting the coal type structure, the blending ratio of each coal type needs to be redefined. Adjusting the blending ratio requires comprehensive consideration of the combustion characteristics of the new coal type, boiler operating parameters, and unit load requirements. For example, a newly introduced coal type may have high volatile matter content and be easy to ignite, but has a short combustion time. To improve combustion stability and continuity, the blending ratio of this coal type can be appropriately reduced, while increasing the proportion of other coal types with stable combustion and higher calorific value. After determining the new blending ratio, the server or control system can send the new blending ratio and blending instructions to the corresponding actuators to achieve the re-blending of coal types.

[0087] In this embodiment, by adjusting the coal type structure and blending ratio, the combustion characteristics of the mixed coal can be made more in line with the unit load requirements, effectively alleviating problems such as unstable combustion and low combustion efficiency, so that the unit can operate stably and meet the load requirements.

[0088] In one embodiment, the boiler combustion condition monitoring data includes the amount of steam generated by the boiler, the oxygen content in the furnace, the carbon content of the slag, and the carbon content of the fly ash. The method further includes: determining that the blended coal meets the preset unit load requirements when the amount of steam generated by the boiler is greater than a preset steam threshold, the oxygen content in the furnace is greater than a preset oxygen content threshold, the carbon content is within a preset range of slag carbon content, and the fly ash carbon content is within a preset range of fly ash carbon content.

[0089] The steam output of the boiler is the amount of water heated and converted into steam per unit time, measured in tons per hour, and is used to measure the energy provided by the boiler to the generating unit. The preset steam output threshold is a standard value for steam output pre-set based on the unit's load demand. It can be understood that different unit loads correspond to different steam output requirements. For example, if a unit, under a specific load, requires 500 tons of steam per hour to meet its power generation needs based on calculations and practical verification, then 500 tons per hour is the preset steam output threshold for that specific load.

[0090] The oxygen content in the furnace is the proportion of oxygen in the combustion space within the boiler furnace, expressed as a volume percentage. The preset oxygen content threshold is a standard value for the oxygen content in the furnace, determined based on factors such as the boiler's combustion characteristics, coal type characteristics, and optimal combustion efficiency. When the oxygen content in the boiler is higher than this threshold, it means there is excess oxygen during combustion; if it is lower than this threshold, it may lead to incomplete combustion of the coal.

[0091] Slag carbon content is the percentage by mass of incompletely burned carbon in slag. It measures the degree of coal combustion in a boiler. Excessive carbon content indicates that a significant amount of carbon is not fully burned before being discharged with the slag, resulting in energy waste. The preset slag carbon content range is a reasonable range determined based on boiler design parameters, coal characteristics, and operational experience. Within this range, it indicates that the boiler's combustion process is relatively normal and the coal combustion efficiency meets expectations. Fly ash carbon content is the percentage by mass of incompletely burned carbon in fly ash. Fly ash consists of fine particles produced during coal combustion and is discharged with flue gas. It measures the completeness of combustion. The preset fly ash carbon content range is similar to the preset slag carbon content range, a reasonable range determined based on boiler and coal characteristics. Within this range, it indicates good fly ash combustion and relatively efficient coal utilization.

[0092] For example, by continuously acquiring combustion condition monitoring data such as the steam output, oxygen content in the furnace, carbon content in the slag, and carbon content in the fly ash, the real-time monitored steam output is compared with a preset steam output threshold. If the steam output is greater than the threshold, it indicates that the steam output of the boiler can meet the energy input requirements for unit power generation. Then, the oxygen content in the furnace is compared with a preset oxygen content threshold. If the oxygen content is also greater than the threshold, it indicates that there is sufficient oxygen in the furnace to support combustion, providing conditions for the complete combustion of the coal. Next, the carbon content in the slag and fly ash is checked to determine whether they are within the preset carbon content ranges for the slag and fly ash, respectively. If the carbon content in both slag and fly ash is within a reasonable range, it indicates that the coal is burning relatively completely in the boiler, and the energy utilization efficiency is high. It is understandable that only when all the above conditions are met, i.e., the steam output, oxygen content, carbon content in the slag, and carbon content in the fly ash all meet their respective standards, is it determined that the blended coal meets the preset unit load requirements.

[0093] In this embodiment, by analyzing the amount of steam generated by the boiler, it can be determined whether the blended coal meets the unit's load requirements, ensuring that the boiler provides sufficient steam to the unit under stable combustion conditions. Analyzing the carbon content of the slag and fly ash can determine whether the coal is fully combusted in the boiler. By analyzing the oxygen content, it can be determined whether there is a suitable oxygen supply in the boiler, and whether there is insufficient oxygen causing incomplete combustion or excessive oxygen leading to increased heat loss. In summary, by analyzing the above combustion condition monitoring data, it is possible to effectively determine whether the boiler's combustion conditions meet the unit's load requirements.

[0094] To provide a clearer explanation of the coal blending method provided in this application, a detailed embodiment and accompanying drawings are provided below. Figure 5 The detailed implementation includes the following steps:

[0095] S610: Obtain the blending ratio of multiple coal types, and blend the multiple coal types based on the blending ratio to obtain the blended coal type.

[0096] S620 acquires combustion condition monitoring data of the boiler when the re-blended coal is being burned in the boiler.

[0097] S630 determines that the blended coal meets the preset unit load requirements when the steam generated by the boiler is greater than the preset steam threshold, the oxygen content in the furnace is greater than the preset oxygen content threshold, the carbon content is within the preset range of slag carbon content, and the fly ash carbon content is within the preset range of fly ash carbon content.

[0098] S640, based on the boiler combustion condition monitoring data, if it is determined that the boiler combustion condition does not meet the preset unit load requirements, based on the boiler combustion condition monitoring data, optimizes the boiler operating parameters with the goal of meeting the preset unit load requirements, and determines the optimized operating parameters of the boiler.

[0099] S650 verifies whether the boiler's combustion conditions meet the preset unit load requirements when the boiler is operating with optimized operating parameters, and obtains the verification results.

[0100] S660: If the blended coal meets the preset unit load requirements when the boiler is operating with optimized operating parameters, then the boiler operating parameters are updated based on the optimized operating parameters.

[0101] S670 If the blended coal does not meet the preset unit load requirements when the boiler is operating with optimized operating parameters, the blending ratio of multiple coal types is adjusted based on the boiler combustion characteristic parameters and boiler heating surface state parameters, and S620 is executed again until the boiler combustion conditions meet the preset unit load requirements.

[0102] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0103] Based on the same inventive concept, this application also provides a coal blending device for implementing the coal blending method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more coal blending device embodiments provided below can be found in the limitations of the coal blending method described above, and will not be repeated here.

[0104] In one embodiment, such as Figure 6 As shown, a coal blending device 600 is provided, including: a data acquisition module 610, a blending module 620, an operating condition monitoring module 630, and an adjustment module 640, wherein:

[0105] The data acquisition module 610 is used to acquire the blending ratio of multiple coal types.

[0106] The blending module 620 is used to blend multiple coal types based on the blending ratio to obtain the blended coal type.

[0107] The operating condition monitoring module 630 is used to acquire combustion condition monitoring data of the boiler when the blended coal is being re-combined in the boiler.

[0108] The adjustment module 640 is used to adjust the blending ratio of multiple coal types or the operating parameters of the boiler based on the boiler combustion condition monitoring data, when it is determined that the boiler combustion condition does not meet the preset unit load requirements. The module then controls the condition monitoring module 630 to obtain the boiler combustion condition monitoring data when the blended coal types are burned in the boiler, until the boiler combustion condition meets the preset unit load requirements.

[0109] In one embodiment, the adjustment module 640 is further configured to optimize the boiler's operating parameters based on the boiler's combustion condition monitoring data, with the goal of meeting the preset unit load demand, determine the optimized operating parameters of the boiler, verify whether the boiler's combustion condition meets the preset unit load demand when the boiler is operating with the optimized operating parameters, obtain the verification result, and adjust the blending ratio of multiple coal types or the boiler's operating parameters based on the verification result.

[0110] In one embodiment, the adjustment module 640 is further configured to update the boiler's operating parameters based on the optimized operating parameters if the blended coal meets the preset unit load requirements when the boiler is operating with optimized operating parameters, and to adjust the blending ratio of multiple coal types based on the boiler's combustion condition monitoring data if the blended coal does not meet the preset unit load requirements when the boiler is operating with optimized operating parameters.

[0111] In one embodiment, the boiler combustion condition monitoring data includes boiler combustion characteristic parameters and boiler heating surface condition parameters. The adjustment module 640 is also used to adjust the blending ratio of multiple coal types based on the boiler combustion characteristic parameters and boiler heating surface condition parameters.

[0112] In one embodiment, the adjustment module 640 is further configured to adjust the coal type structure of multiple coal types based on the boiler combustion condition monitoring data, and adjust the blending ratio of multiple coal types based on the adjusted coal type structure.

[0113] In one embodiment, the boiler combustion condition monitoring data includes the amount of steam generated by the boiler, the oxygen content in the furnace, the carbon content of the slag, and the carbon content of the fly ash. The coal blending device 600 is also used to determine that the blended coal meets the preset unit load requirements when the amount of steam generated by the boiler is greater than a preset steam threshold, the oxygen content in the furnace is greater than a preset oxygen content threshold, the carbon content is within a preset range of slag carbon content, and the fly ash carbon content is within a preset range of fly ash carbon content.

[0114] Each module in the aforementioned coal blending device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as software, so that the processor can call and execute the operations corresponding to each module.

[0115] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown, this computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores data such as the blending ratios of multiple coal types. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a coal blending method.

[0116] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0117] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described coal blending method embodiment.

[0118] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-described coal blending method embodiment.

[0119] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described coal blending method embodiment.

[0120] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0121] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0122] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0123] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for blending coal, characterized in that, The method includes: Obtain the blending ratio of multiple coal types; Based on the blending ratio, multiple coal types are blended to obtain blended coal types; When the blended coal is burned in the boiler, the combustion condition monitoring data of the boiler is obtained; If, based on the combustion condition monitoring data of the boiler, it is determined that the combustion condition of the boiler does not meet the preset unit load requirements, the blending ratio of multiple coal types or the operating parameters of the boiler are adjusted based on the combustion condition monitoring data of the boiler. Repeat the step of acquiring the combustion condition monitoring data of the boiler until the combustion condition of the boiler meets the preset unit load requirements.

2. The method according to claim 1, characterized in that, The adjustment of the blending ratio of multiple coal types or the operating parameters of the boiler based on the combustion condition monitoring data of the boiler includes: Based on the combustion condition monitoring data of the boiler, with the goal of meeting the preset unit load demand, the operating parameters of the boiler are optimized, and the optimized operating parameters of the boiler are determined. The verification results were obtained by confirming whether the combustion conditions of the boiler, when operating with optimized operating parameters, meet the preset unit load requirements. Based on the verification results, the blending ratio of multiple coal types or the operating parameters of the boiler are adjusted.

3. The method according to claim 2, characterized in that, The adjustment of the blending ratio of multiple coal types or the operating parameters of the boiler based on the verification results includes: If the blended coal meets the preset unit load requirements when the boiler is operating with optimized operating parameters, then the operating parameters of the boiler are updated based on the optimized operating parameters. If the blended coal does not meet the preset unit load requirements when the boiler is operating with optimized operating parameters, the blending ratio of the multiple coal types will be adjusted based on the boiler's combustion condition monitoring data.

4. The method according to claim 3, characterized in that, The boiler combustion condition monitoring data includes boiler combustion characteristic parameters and boiler heating surface condition parameters. Based on the boiler combustion condition monitoring data, the blending ratio of the multiple coal types is adjusted, including: Based on the boiler combustion characteristic parameters and boiler heating surface condition parameters, the blending ratio of the multiple coal types is adjusted.

5. The method according to claim 3, characterized in that, Based on the combustion condition monitoring data of the boiler, the blending ratio of the multiple coal types is adjusted, including: Based on the combustion condition monitoring data of the boiler, the coal type structure of the multiple coal types is adjusted; Based on the adjusted coal type structure of multiple coal types, the blending ratio of the multiple coal types is adjusted.

6. The method according to any one of claims 1 to 5, characterized in that, The combustion condition monitoring data of the boiler includes the steam output, oxygen content in the furnace, carbon content in the slag, and carbon content in the fly ash. The method further includes: If the amount of steam generated by the boiler is greater than a preset steam threshold, the oxygen content in the furnace is greater than a preset oxygen content threshold, the carbon content is within a preset range of slag carbon content, and the fly ash carbon content is within a preset range of fly ash carbon content, then the blended coal type is determined to meet the preset unit load requirements.

7. A coal blending device, characterized in that, The device includes: The data acquisition module is used to obtain the blending ratio of multiple coal types; The blending module is used to blend multiple coal types based on the blending ratio to obtain the blended coal type; The operating condition monitoring module is used to acquire combustion condition monitoring data of the boiler when the blended coal is burned in the boiler. The adjustment module is used to adjust the blending ratio of multiple coal types or the operating parameters of the boiler based on the boiler combustion condition monitoring data. This adjustment is performed when the boiler combustion condition does not meet the preset unit load requirements. The module then controls the operation condition monitoring module to obtain the boiler combustion condition monitoring data when the blended coal types are burned in the boiler, until the boiler combustion condition meets the preset unit load requirements.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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