Coal-fired power plant as-fired coal tracking and coal bunker dynamic management method and device

Abstract

The invention discloses a coal-fired power plant as-fired coal tracking and coal bunker dynamic management method and device, and relates to the technical field of coal blending combustion of a coal-fired power plant, and the method comprises the steps: reading the current coaling coal type and current coal level of a raw coal bunker and the current load data of a unit when the raw coal bunker enters a coaling process; based on the current coal level and the current coaling coal type, determining an interface initial position of the current coaling coal type and the coal type of the raw coal bunker; according to the current coal level and the coal level-coal quantity curve, the raw coal type residual weight of the raw coal bunker is determined; performing secondary coal blending adjustment on the raw coal bunker based on the residual weight of the raw coal, the initial position of the interface and the current load data of the unit; obtaining the current coal feeding amount and the real-time position of the interface after the secondary coal blending adjustment, and determining the predicted combustion time based on the current coal feeding amount; and early warning is performed according to the predicted combustion time, so that real-time monitoring of a coal type layered interface in the coal bunker, accurate calculation of the coal quantity and dynamic adjustment of coal blending are realized, and the problems of time delay and relatively poor management effect of the coal bunker in a traditional coal blending scheme are solved.

Description

Technical Field

[0001] This application relates to the field of coal blending and combustion technology in coal-fired power plants, and in particular to methods and devices for tracking coal entering the furnace and dynamic management of coal bunkers in coal-fired power plants. Background Technology

[0002] During the operation of a coal-fired power plant, after the coal blending decision-making process determines the coal blending scheme, the designated coal type needs to be transported to the raw coal bunker for storage, and then fed into the furnace for combustion via the coal feeder and coal mill. Due to the large volume of the raw coal bunker, the coal storage time is usually several hours, resulting in a significant time lag problem in the traditional coal blending scheme: the optimal coal blending ratio calculated based on the current full load of the unit may have changed by the time the coal enters the furnace, and the original coal blending ratio is no longer optimal, which may even lead to problems such as decreased combustion efficiency and exceeding environmental protection standards.

[0003] Meanwhile, traditional coal bunker management only measures the upper coal level using a coal level gauge, which cannot monitor the stratification interface of different coal types in the bunker and makes it difficult to determine the current coal type to be fed into the furnace. Moreover, due to the non-cylindrical structure of the coal bunker, the difference in coal density, and the fluctuation of coal level, there are errors in the correspondence between coal level and actual coal quantity, which further affects the accuracy of coal tracking into the furnace and cannot provide an accurate basis for adjusting coal mill parameters and optimizing burner air distribution, thus restricting the optimization and control of the entire coal blending process. Summary of the Invention

[0004] The main purpose of this application is to provide a method and device for tracking coal entering the furnace and dynamically managing the coal bunker in a coal-fired power plant, aiming to solve the technical problems of significant time lag in traditional coal blending schemes and limitations in coal bunker management.

[0005] To achieve the above objectives, this application proposes a method for tracking coal fed into a coal-fired power plant and dynamically managing the coal bunker. The method includes: When the raw coal bunker enters the coal loading process, the current coal type, current coal level, and current unit load data of the raw coal bunker are read. The initial position of the interface between the current coal level and the current coal type is determined based on the current coal level and the current coal type. The remaining weight of the raw coal type in the raw coal bunker is determined based on the current coal level and the coal level-coal quantity curve. The raw coal bunker is adjusted for secondary coal blending based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit. The current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment are obtained, and the predicted combustion time is determined based on the current coal feed rate and the real-time position of the interface. Warnings are issued based on the predicted burning time.

[0006] In one embodiment, the step of performing secondary coal blending adjustment on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit includes: The initial position of the interface is updated based on the remaining weight of the raw coal to obtain the updated position of the interface; The current coal type fed into the furnace is determined based on the updated position of the interface. The feeder output strategy and the pulverizer operation strategy are determined based on the current load data and the current type of coal fed into the furnace. The raw coal bunker is adjusted for secondary coal blending based on the feeder output strategy and the mill operation strategy.

[0007] In one embodiment, the step of updating the initial position of the interface based on the remaining weight of the raw coal to obtain the updated position of the interface includes: Within a preset time interval, the coal feed rate of the coal feeder in the raw coal bunker is obtained; The consumption of raw coal type within a preset time period is calculated based on the coal feeder's feed rate. The remaining weight of the raw coal type is updated based on the consumption of the raw coal type to obtain the updated remaining weight of the raw coal type; The real-time position of the interface is obtained based on the updated remaining weight of the original coal type and the coal position-coal quantity curve. The initial position of the sub-interface is updated based on its real-time position to obtain the updated position of the sub-interface.

[0008] In one embodiment, the step of determining the feeder output strategy and the mill operation strategy based on the current load data and the current type of coal fed into the furnace includes: When the current load data shows a decrease in the current load and the volatile matter content of the current coal type entering the furnace reaches a preset ratio, the current coal machine output of the raw coal bunker is reduced to a preset coal machine output, and the reduced preset coal machine output is used as the coal machine output strategy. Switch the current coal mill to the preset coal mill and set the outlet temperature of the preset coal mill. Use the preset coal mill and the outlet temperature as the coal mill operation strategy.

[0009] In one embodiment, the step of obtaining the current coal feed rate and the real-time position of the interface after secondary coal blending adjustment, and determining the predicted combustion time based on the current coal feed rate and the real-time position of the interface includes: Obtain the current coal feed rate and real-time position of the interface after the secondary coal blending adjustment; The combustible time of the raw coal type is calculated based on the current coal feed rate and the remaining weight of the raw coal type. The position change value is determined based on the real-time position of the interface and the initial position of the interface; The amount of coal for the current coal type is calculated based on the location change value and the coal position-coal quantity curve. The total amount of coal stored in the raw coal bunker is determined based on the amount of coal of the current coal type and the remaining weight of the raw coal type. The total combustible time is calculated based on the total coal storage in the raw coal bunker and the current coal feed rate. The predicted burning time is obtained based on the combustible time of the raw coal and the total combustible time.

[0010] In one embodiment, the method further includes: The inlet cold air temperature, inlet hot air temperature, cold air flow rate, hot air flow rate, and outlet air-coal temperature of the coal mill corresponding to the raw coal bunker are collected. The actual coal moisture content is calculated based on the inlet cold air temperature, the inlet hot air temperature, the cold air flow rate, the hot air flow rate, and the outlet air-coal temperature. When the difference between the actual coal moisture content and the preset coal moisture content exceeds the preset moisture deviation threshold, the coal level-coal quantity curve is corrected to obtain the corrected coal level-coal quantity curve.

[0011] In one embodiment, the method further includes: The inlet cold air temperature, inlet hot air temperature, cold air flow rate, hot air flow rate, and outlet air-coal temperature of the coal mill corresponding to the raw coal bunker are collected. The actual coal moisture content is calculated based on the inlet cold air temperature, the inlet hot air temperature, the cold air flow rate, the hot air flow rate, and the outlet air-coal temperature. When the difference between the actual coal moisture content and the preset coal moisture content exceeds the preset moisture deviation threshold, the coal level-coal quantity curve is corrected to obtain the corrected coal level-coal quantity curve.

[0012] In one embodiment, the step of determining the initial position of the interface between the current coal type and the raw coal bunker based on the current coal position and the current coal type includes: Obtain the type of coal from the raw coal bunker; Compare whether the coal type in the raw coal bunker and the coal type currently being supplied are the same; When the coal type in the raw coal bunker and the coal type currently being fed are not the same, the current coal position is taken as the initial position of the interface between the current coal type being fed and the coal type in the raw coal bunker. When the coal type in the raw coal bunker and the coal type currently being fed are the same, the coal level height after feeding is taken as the initial position of the interface between the current coal type being fed and the coal type in the raw coal bunker.

[0013] In one embodiment, before the step of reading the current coal type, current coal level, and current unit load data of the raw coal bunker when it enters the coal loading process, the method further includes: Real-time monitoring of coal level data in each raw coal bunker; The coal level change value is obtained based on the coal data. When the change in coal level exceeds a preset threshold, the raw coal bunker is determined to enter the coal loading process.

[0014] Furthermore, to achieve the above objectives, this application also proposes a coal-fired power plant coal-feeding tracking and coal bunker dynamic management device, which includes: The reading module is used to read the current coal type, current coal level, and current unit load data of the raw coal bunker when it enters the coal loading process. The determination module is used to determine the initial position of the interface between the current coal type and the raw coal bunker based on the current coal position and the current coal type. The determining module is also used to determine the remaining weight of the raw coal type in the raw coal bunker based on the current coal level and the coal level-coal quantity curve; The adjustment module is used to perform secondary coal blending adjustment on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit. The acquisition module is used to acquire the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment, and to determine the predicted combustion time based on the current coal feed rate and the real-time position of the interface. The early warning module is used to issue an early warning based on the predicted burning time.

[0015] In addition, to achieve the above objectives, this application also proposes a coal-fired power plant coal-feeding tracking and coal bunker dynamic management device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the coal-fired power plant coal-feeding tracking and coal bunker dynamic management method as described above.

[0016] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the coal tracking and coal bunker dynamic management method for coal-fired power plants as described above.

[0017] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the coal tracking and coal bunker dynamic management method for coal-fired power plants described above.

[0018] One or more technical solutions proposed in this application have at least the following technical effects: This application effectively solves the time lag problem in traditional coal blending schemes. After the coal blending decision, it can track changes in the coal type in the raw coal bunker in real time, accurately grasp the current coal type being fed into the furnace, and avoid mismatches between unit load changes and coal blending ratios caused by excessive coal storage time. This improves combustion efficiency and reduces the risk of exceeding environmental protection standards. Simultaneously, precise dynamic management of the coal bunker can accurately monitor the stratification interface of different coal types within the bunker, determine the remaining weight of the raw coal type, and provide accurate data for adjusting mill parameters and optimizing burner air distribution, achieving optimized control of the entire coal blending process. Furthermore, early warning based on predicted combustion time helps power plants prepare contingency plans in advance, ensuring the stable operation of coal-fired power plants and improving overall operational efficiency and safety. Attached Figure Description

[0019] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating an embodiment of the method for tracking coal entering the furnace and dynamically managing coal bunkers in a coal-fired power plant as described in this application. Figure 2 This is a flowchart illustrating Embodiment 2 of the method for tracking coal entering the furnace and dynamically managing coal bunkers in a coal-fired power plant, as described in this application. Figure 3 This is a flowchart illustrating Embodiment 3 of the method for tracking coal entering the furnace and dynamically managing coal bunkers in a coal-fired power plant, as described in this application. Figure 4 This is a flowchart illustrating Embodiment 4 of the method for tracking coal entering the furnace and dynamically managing coal bunkers in a coal-fired power plant, as described in this application. Figure 5 A simplified flowchart is provided for an embodiment of the coal-fired power plant coal-feeding coal tracking and coal bunker dynamic management method of this application; Figure 6 This is a schematic diagram of the module structure of the coal-fired power plant coal tracking and coal bunker dynamic management device according to an embodiment of this application; Figure 7 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the coal tracking and coal bunker dynamic management method for coal-fired power plants in the embodiments of this application.

[0022] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0023] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0024] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0025] The main solution of this application embodiment is as follows: When the raw coal bunker enters the coal feeding process, the current coal type, current coal level, and current unit load data of the raw coal bunker are read; the initial position of the interface between the current coal type and the raw coal bunker coal type is determined based on the current coal level and the current coal type; the remaining weight of the raw coal type in the raw coal bunker is determined according to the current coal level and the coal level-coal quantity curve; a secondary coal blending adjustment is performed on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current unit load data; the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment are obtained, and the predicted combustion time is determined based on the current coal feed rate and the real-time position of the interface; and an early warning is issued based on the predicted combustion time.

[0026] In existing coal-fired power plant operations, after the coal blending decision-making process determines the coal blending scheme, the designated coal type needs to be transported to the raw coal bunker for storage before entering the furnace for combustion via the coal feeder and pulverizer. Due to the large volume of the raw coal bunker and the typical storage time of several hours, traditional coal blending schemes suffer from significant time lag: the optimal coal blending ratio calculated based on the unit's current full load may have changed by the time the coal enters the furnace, rendering the original blending ratio no longer optimal and potentially leading to decreased combustion efficiency and exceeding environmental emission standards. Furthermore, traditional coal bunker management relies solely on coal level gauges to measure the upper coal level, failing to monitor the stratification interface between different coal types within the bunker and making it difficult to determine the current coal type entering the furnace. Moreover, due to the non-cylindrical structure of the coal bunker, differences in coal density, and fluctuations in coal level, the correspondence between coal level and actual coal quantity contains errors, further affecting the accuracy of coal tracking and hindering accurate data for pulverizer parameter adjustments and burner air distribution optimization, thus restricting the optimized management and control of the entire coal blending process.

[0027] This application provides a solution that proposes for the first time a real-time monitoring method for coal bunker interfaces. This method overcomes the limitation of traditional coal level gauges that only measure the upper layer of coal, accurately tracks the stratification of different coal types, improves the accuracy of coal type identification in the furnace, provides accurate basis for adjusting the parameters of the coal mill and burner, reduces the incidence of malfunctions such as coal mill blockage and furnace coking, avoids boiler shutdown due to empty coal bunker by early warning of burning time, and breaks the "one-time decision" mode of traditional coal blending schemes by dynamic adjustment of secondary coal blending, so that the coal blending ratio is accurately matched with the real-time load of the unit and the current coal type in the furnace, thereby improving combustion efficiency.

[0028] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a coal-fired power plant coal tracking and coal bunker dynamic management device. The following description uses a coal-fired power plant coal tracking and coal bunker dynamic management device as an example to illustrate this embodiment and the subsequent embodiments.

[0029] Based on this, embodiments of this application provide a method for tracking coal entering the furnace and dynamically managing the coal bunker in a coal-fired power plant, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the method for tracking coal entering the furnace and dynamically managing coal bunkers in a coal-fired power plant according to this application.

[0030] In this embodiment, the method for tracking coal fed into the furnace and dynamically managing the coal bunker in a coal-fired power plant includes steps S10 to S40: Step S10: When the raw coal bunker enters the coal loading process, read the current coal type, current coal level, and current unit load data of the raw coal bunker.

[0031] It should be noted that there can be multiple raw coal bunkers, such as bunker A, bunker B, and bunker C. When raw coal bunkers enter the coal loading process, information such as the type of coal being loaded, the current coal level, and the current unit load can be obtained through sensors installed near the bunkers or by reading data from the power plant's control system. The type of coal being loaded can be lean coal, bituminous coal, etc., and can be the same as or different from the raw coal stored in the bunkers. The current unit load data can include the unit's real-time load.

[0032] It should be noted that a coal loading threshold can be set in advance. When the coal level in the raw coal bunker rises to meet the coal loading threshold, it indicates that the raw coal bunker has entered the coal loading process.

[0033] In one feasible implementation, steps S01 to S03 are included before step S10: Step S01: Monitor the coal level data of each raw coal bunker in real time; It should be noted that the coal level data of the raw coal bunker can be monitored in real time through the data acquisition module. The coal level data can include information such as coal level height and coal level change rate. This data can reflect the storage status of coal in the raw coal bunker in real time.

[0034] Step S02: Obtain the coal level change value based on the coal level data; Specifically, by performing differential calculations on continuously collected coal level data, the change in coal level per unit time can be obtained, i.e., the coal level change value. This value can intuitively reflect the increase or decrease in the amount of coal in the raw coal bunker.

[0035] Step S03: When the coal level change value is greater than the preset threshold, determine that the raw coal bunker has entered the coal loading process.

[0036] It should be noted that the preset threshold can be set comprehensively based on factors such as the actual capacity of the raw coal bunker, the coal feeding speed, and historical data. When the coal level change exceeds this threshold, it can be determined that the raw coal bunker has entered the coal feeding process, at which point subsequent operations such as reading the current coal type, current coal level, and current unit load data can be triggered. It can be understood that the coal feeding determination threshold can be set to a coal level change of greater than or equal to 0.5m within 2 minutes in the raw coal bunker.

[0037] Step S20: Determine the initial position of the interface between the current coal level and the current coal type in the raw coal bunker based on the current coal level and the current coal type in the raw coal bunker.

[0038] It should be noted that the coal type in the raw coal bunker can be obtained first, and then the coal type in the raw coal bunker and the coal type currently being fed can be compared to determine if they are the same. Based on the comparison results and the current coal level, the initial position of the interface between the current coal type being fed and the coal type in the raw coal bunker can be determined.

[0039] In one feasible implementation, step S20 may include: obtaining the coal type of the raw coal bunker; comparing whether the raw coal type of the raw coal bunker and the current coal type are the same coal type; when the raw coal type of the raw coal bunker and the current coal type are not the same coal type, taking the current coal position as the initial position of the interface between the current coal type and the raw coal bunker; when the raw coal type of the raw coal bunker and the current coal type are the same coal type, taking the coal position height after coal loading as the initial position of the interface between the current coal type and the raw coal bunker.

[0040] Understandably, determining the initial position of the interface is crucial for subsequent coal type stratification monitoring and remaining coal quantity calculation. Specifically, the coal type in the raw coal bunker can be collected via a data acquisition module. This information can be pre-stored in a database or obtained by scanning the labels on the raw coal bunker. When the raw coal type differs from the currently added coal type, it indicates the presence of two different coal types within the bunker. In this case, the current coal level serves as the initial position of the interface between the two coal types, accurately recording the starting point of the new coal type entering the bunker. If it is the same coal type, it indicates continuous addition of the same coal type. In this case, the coal level after addition is used as the initial position of the interface, effectively merging the interfaces without requiring new records, ensuring continuous tracking of coal type stratification. This accurately defines the boundaries between different coal types or different stages of the same coal type, laying the foundation for precise calculation of the remaining coal quantity.

[0041] Step S30: Determine the remaining weight of the raw coal type in the raw coal bunker based on the current coal level and the coal level-coal quantity curve.

[0042] It should be noted that the coal level-coal quantity curve represents the relationship between the coal level and the weight of the coal in the raw coal bunker. This curve can be established in advance by fitting experimental data or based on parameters such as the structural characteristics of the raw coal bunker and the density of the coal. After determining the current coal level, the remaining weight of the raw coal in the raw coal bunker can be obtained by querying or calculating this curve.

[0043] In one feasible implementation, the coal level-coal quantity curve can be obtained through on-site testing and calibration, thereby solving the nonlinearity problem of coal level-coal quantity caused by the non-fully cylindrical structure of the coal bunker. Specifically, the steps for establishing the coal level-coal quantity curve may include: selecting multiple raw coal bunkers corresponding to the boiler of the unit; adding a preset quantity of known coal to the multiple raw coal bunkers during unit shutdown and maintenance; recording historical coal level values ​​after the coal level in each raw coal bunker stabilizes; returning to the step of adding a preset quantity of known coal to the multiple raw coal bunkers until the raw coal bunkers are full, obtaining multiple sets of coal level and coal quantity data; and fitting the multiple sets of coal level and coal quantity data to obtain the coal level-coal quantity curve.

[0044] It should be noted that multiple raw coal silos from Boiler No. 1 of a certain unit can be selected. For example, there are four raw coal silos, numbered A, B, C, and D, all of which have a round upper and conical lower structure with an effective volume of 800 m³. These multiple raw coal silos are used as test objects. During the unit's shutdown and maintenance, the "layered silo addition method" is used for calibration. Specifically, 50t of a known coal type (e.g., bituminous coal with a received basis moisture content of 12% and a bulk density of 1.3t / m³) is added to the silo each time. After the coal level stabilizes, the coal level value displayed by the coal level gauge is recorded (accuracy ±0.05m). This operation is repeated until the coal silo is full, and a total of 16 sets of "coal level-coal quantity" data are obtained. The corresponding relationship curve is generated by fitting using the least squares method. For example, the fitting formula for silo A is: M=0.85H³-2.3H²+15.6H (where M is the coal quantity in t; H is the coal level in m, with a value range of 0-8m). The curve is then stored in the coal silo interface monitoring module. The coal bunker interface monitoring module is used to update the interface position in real time to accurately track the type of coal currently being fed into the furnace.

[0045] The coal level-coal quantity curve was calibrated through on-site testing, fully considering the practical factor that the coal bunker is not entirely cylindrical. In actual operation, due to the irregular shape of the coal bunker, the relationship between coal level and coal quantity is not a simple linear one. However, by selecting multiple raw coal bunkers, recording coal level values ​​under different coal quantity conditions, and fitting the curve, a coal level-coal quantity curve that more closely reflects the actual situation can be obtained. Thus, the remaining weight of the raw coal type obtained by querying this curve based on the current coal level is more accurate, providing a reliable data foundation for subsequent secondary coal blending adjustments.

[0046] For example, the fitting formula for Warehouse A is: M=0.85H³-2.3H²+15.6H. The data acquisition module monitors that at time T0 (8:00), the coal level in Warehouse A rises from 3.2m to 3.8m (a change of 0.6m within 2 minutes), which is determined to be the start of coal loading. The current coal type issued by the coal blending decision program is read as "lean coal (received base moisture 8%, bulk density 1.4t / m³)". The original coal type in Warehouse A is "bituminous coal". Since the coal types are different, the coal level of 3.8m at this time is recorded as the initial position of the interface. The corresponding relationship curve of coal level-coal quantity in Warehouse A is checked. When H=3.8m, M=0.85×3.8³-2.3×3.8²+15.6×3.8≈192t, that is, the remaining weight of the original coal type in the original coal warehouse is the current remaining weight of bituminous coal, which is 192t.

[0047] Step S40: Perform secondary coal blending adjustment on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit.

[0048] It should be noted that secondary coal blending adjustment is one of the core aspects of this application. Its purpose is to dynamically adjust the coal blending ratio based on the real-time status of the raw coal bunker and the unit load, thereby ensuring optimal combustion efficiency and environmental protection indicators. Specifically, the distribution and total amount of different coal types in the raw coal bunker can be calculated first based on the remaining weight of the raw coal and the initial position of the interface. For example, if there are coal types A and B remaining in the raw coal bunker, and their initial interface positions and remaining weights are known, the stratification of the two coal types can be determined. Next, combined with the current unit load data, the optimal coal blending ratio under the current load is calculated using a preset coal blending algorithm or model. After calculating the optimal coal blending ratio, secondary coal blending adjustments are made to the raw coal bunker based on this ratio. This can be achieved by adjusting the coal feeder's feed rate, changing the conveying path or ratio of different coal types, etc. For example, if it is calculated that the proportion of coal type A needs to be increased, the feed rate of coal type A can be appropriately increased while the feed rate of coal type B is decreased to achieve the optimal coal blending ratio. By adjusting the coal blending in two stages, the traditional "one-time decision" model of coal blending schemes can be broken, and the coal blending ratio can be precisely matched with the real-time load of the unit and the current coal type fed into the furnace, thereby improving combustion efficiency and reducing problems such as incomplete combustion or exceeding environmental protection standards.

[0049] Step S50: Obtain the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment, and determine the predicted combustion time based on the current coal feed rate and the real-time position of the interface.

[0050] It should be noted that the predicted combustion time can be calculated by combining the current coal feed rate after the secondary coal blending adjustment and the real-time position of the interface. The predicted combustion time can be the combustible time of the raw coal type in the raw coal bunker, or it can be the total combustible time of the total coal inventory in the raw coal bunker.

[0051] Step S60: Issue an early warning based on the predicted burning time.

[0052] In practice, the predicted burning time can be compared with the set warning threshold. For example, the warning threshold can be set to a raw coal type burning time threshold of 30 minutes and a total burning time threshold of 1 hour. When the raw coal type burning time is less than or equal to 30 minutes or the total burning time is less than or equal to 1 hour, the warning module will send an audible and visual warning to the central control room to remind the operators to prepare to adjust the coal type or add coal.

[0053] This embodiment provides a method for tracking coal entering the furnace and dynamically managing the coal bunker in a coal-fired power plant, effectively solving the time lag problem in traditional coal blending schemes. After the coal blending decision, the method can track changes in the coal type in the raw coal bunker in real time, accurately grasp the current coal type entering the furnace, and avoid mismatches between unit load changes and coal blending ratios caused by excessive coal storage time, thereby improving combustion efficiency and reducing the risk of exceeding environmental protection standards. Simultaneously, precise dynamic management of the coal bunker can accurately monitor the stratification interface of different coal types within the bunker, determine the remaining weight of the raw coal type, and provide accurate basis for adjusting pulverizer parameters and optimizing burner air distribution, achieving optimized control of the entire coal blending process. Furthermore, early warning based on predicted combustion time helps power plants prepare countermeasures in advance, ensuring the stable operation of coal-fired power plants and improving overall operational efficiency and safety.

[0054] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 Step S40 includes steps S401 to S404: Step S401: Update the initial position of the interface based on the remaining weight of the raw coal type to obtain the updated position of the interface.

[0055] Understandably, a time interval Δt can be set, typically 10-30 seconds, and adjusted according to the frequency of unit load fluctuations to ensure real-time performance. The coal feed rate within Δt is integrated to obtain the current coal consumption. Based on the current coal consumption and the remaining weight of the original coal, the coal position-coal quantity correspondence curve is looked up to determine the coal position corresponding to the remaining coal quantity. This updates the initial position of the interface, obtains the latest interface position, and completes the dynamic tracking of the coal type entering the furnace.

[0056] In one feasible implementation, step S401 may include steps A11 to A15: Step A11: Within a preset time interval, obtain the coal feed rate of the coal feeder in the raw coal bunker; It should be noted that the preset time interval can be set to 20 seconds. Since the unit load fluctuation cycle is about 5 minutes, Δt=20 seconds can meet the real-time update requirements of the interface. Therefore, the coal feed rate of the raw coal bunker can be integrated every 20 seconds, and the real-time collected value is about 50 t / h. The value of Δt can also be determined according to the unit load fluctuation frequency and the coal level change rate in the coal bunker.

[0057] Step A12: Calculate the raw coal consumption within a preset time period based on the coal feeder's feed rate; In specific implementation, for example, at time T0-T1, that is, 8:00-8:30, the consumption of raw coal type per 20 seconds can be calculated based on the coal feeder's coal feed rate. For example, if the raw coal type is bituminous coal, then the consumption of bituminous coal within 20 seconds is calculated as follows: Raw coal type consumption = 50t / h × (20 / 3600)h ≈ 0.278t.

[0058] Step A13: Update the remaining weight of the raw coal type according to the consumption amount of the raw coal type to obtain the updated remaining weight of the raw coal type; In practice, the remaining weight of the raw coal can be updated based on the consumption of the raw coal. For example, if the remaining weight of the raw coal is 192t, then the remaining weight of the raw coal is updated every 20s: M_remaining = 192t - 0.278t × n (n is the number of Δt intervals).

[0059] Step A14: Obtain the real-time position of the interface based on the updated remaining weight of the raw coal and the coal position-coal quantity curve; Understandably, for example, when T1=08:30, n=90, and M remaining=192-0.278×90≈167t, the remaining weight of the updated raw coal type is substituted into the coal position-coal quantity curve, and H≈3.5m is calculated, that is, the real-time position of the interface drops to 3.5m. At this time, it is confirmed that the current coal type entering the furnace is still the original coal type, that is, bituminous coal.

[0060] Step A15: Update the initial position of the interface according to the real-time position of the interface to obtain the updated position of the interface.

[0061] In practice, the real-time position of the sub-interface can be used as the updated sub-interface position, that is, 3.5m can be used as the sub-interface update position.

[0062] Step S402: Determine the current coal type entering the furnace based on the updated position of the interface.

[0063] It should be noted that the current coal type fed into the furnace can be determined based on the updated position of the interface. For example, if the initial position of the interface is 3.8m and the updated position of the interface is 3.5m, it means that the current coal type fed into the furnace is still the original coal type.

[0064] Step S403: Determine the coal feeder output strategy and the coal mill operation strategy based on the current load data and the current coal type fed into the furnace.

[0065] In practice, the coal blending strategy can be adjusted based on the real-time load value in the current load data and the properties of the current coal type fed into the furnace. Specifically, this includes the coal feeder output strategy and the coal mill operation strategy.

[0066] The coal feeder output strategy involves dynamically adjusting the coal feeder speed based on current load data and the characteristics of the coal type entering the furnace. For example, when the moisture content of the coal entering the furnace increases, the ventilation volume of the coal mill is increased while the coal feeder output is reduced to avoid coal mill blockage; when the unit load decreases, the proportion of high-volatile coal types is reduced to ensure stable combustion.

[0067] In one feasible implementation, step S403 may include steps B11-B12: Step B11: When the current load data shows a decrease in the current load and the volatile matter content of the current coal type entering the furnace reaches a preset ratio, the current coal machine output of the raw coal bunker is reduced to a preset coal machine output, and the reduced preset coal machine output is used as the coal machine output strategy. It should be noted that, for example, if the design load is 300MW, and the current load obtained from the current load data is 240MW, it means that the load has decreased, and the coal supply needs to be reduced.

[0068] The preset ratio can be set in advance, for example, to 10%. If the volatile matter of the current coal entering the furnace reaches the preset ratio, it means that its volatile matter is high and the combustion is unstable under low load. Therefore, the current coal feeder output of the raw coal bunker can be reduced to the preset coal feeder output. The preset coal feeder output can be set according to needs. For example, the output of the coal feeder in bunker A can be reduced from 50t / h to 42t / h, and 42t / h can be used as the coal feeder output strategy, with coal being fed at 42t / h.

[0069] Step B12: Switch the current coal mill to the preset coal mill and set the outlet temperature of the preset coal mill. Use the preset coal mill and the outlet temperature as the coal mill operation strategy.

[0070] Understandably, due to the reduced current load, the current coal mill can be switched to a low-load, small-capacity coal mill. The preset coal mill is the low-load, small-capacity coal mill, and the outlet temperature range of the preset coal mill is set to 70-80℃. The preset coal mill is operated and its outlet temperature is kept stable at 75℃. This is the coal mill operation strategy.

[0071] Step S404: Perform secondary coal blending adjustment on the raw coal bunker according to the coal feeder output strategy and the coal mill operation strategy.

[0072] By coordinating the output strategy of the coal feeder and the operation strategy of the coal mill, the combustion process can be dynamically optimized, thereby improving combustion efficiency and economy.

[0073] In practice, after the secondary coal blending adjustment, real-time monitoring showed that coal consumption dropped to 305 g / kWh and NOx emissions were 38 mg / Nm³, meeting the preset thresholds for "economic, safety, and environmental protection" indicators. These thresholds are: coal consumption ≤ 300 g / kWh, furnace outlet temperature ≤ 1100℃, and NOx emissions ≤ 50 mg / Nm³. This embodiment updates the initial position of the interface based on the remaining weight of the raw coal, obtaining the updated interface position; determines the current coal type to be fed into the furnace based on the updated interface position; determines the feeder output strategy and the pulverizer operation strategy based on the current load data and the current coal type to be fed into the furnace; and performs secondary coal blending adjustments to the raw coal bunker based on the feeder output strategy and the pulverizer operation strategy. This not only achieves precise control over the distribution and consumption of coal types in the raw coal bunker, but also flexibly adjusts the feeder output and pulverizer operation mode according to the real-time load of the unit and the characteristics of the coal type. This dynamic adjustment mechanism effectively avoids combustion instability caused by load fluctuations or changes in coal type, significantly improving combustion efficiency. At the same time, by strictly controlling key indicators such as coal consumption and NOx emissions, the environmental friendliness and economy of the coal combustion process are ensured.

[0074] Based on the first embodiment of this application, in the third embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 3 Step S50 includes steps S501 to S507: Step S501: Obtain the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment.

[0075] It should be noted that after the secondary coal blending adjustment is performed through the strategy, the current coal feed rate of the coal feeder after the secondary coal blending adjustment and the real-time updated position of the interface can be obtained. For example, at time T3 09:10, the real-time position of the interface is H=3.3m, and the current coal feed rate is 42t / h.

[0076] Step S502: Calculate the combustible time of the raw coal type based on the current coal feed rate and the remaining weight of the raw coal type.

[0077] In practice, the combustible time of the raw coal can be calculated based on the current coal feed rate and the remaining weight of the raw coal. For example, the remaining weight of the raw coal, M_remaining, is approximately 167t - 42t / h × 0.417h (08:45 - 09:10) ≈ 149t. Therefore, the combustible time of the raw coal is approximately 149t ÷ 42t / h ≈ 3.55h.

[0078] Step S503: Determine the position change value based on the real-time position of the interface and the initial position of the interface.

[0079] In practice, the position difference, i.e. the position change value of the raw coal type, can be calculated based on the real-time position of the interface and the initial position of the interface. For example, if the initial position of the interface is 3.8, then the position change value is 3.8-3.3=0.5m.

[0080] Step S504: Calculate the amount of coal for the current coal type based on the position change value and the coal position-coal quantity curve.

[0081] In practice, the coal quantity M≈7t of the current coal type can be obtained by looking up the coal position-coal quantity curve based on the position change value.

[0082] Step S505: Determine the total amount of coal stored in the raw coal bunker based on the amount of coal of the current coal type and the remaining weight of the raw coal type.

[0083] In practice, the total amount of raw coal in the bunker can be calculated based on the amount of coal of the current coal type and the remaining weight of the original coal type. The total amount of raw coal in the bunker = the remaining weight of the original coal type + the amount of coal of the current coal type = 149t + 7t = 156t.

[0084] Step S506: Calculate the total combustible time based on the total coal storage in the raw coal bunker and the current coal feed rate.

[0085] In practice, the total combustible time of all coal in the raw coal bunker can be calculated based on the total amount of coal stored in the bunker and the current coal supply. The total combustible time is approximately 156t ÷ 42t / h ≈ 3.71h.

[0086] Step S507: Obtain the predicted combustion time based on the combustible time of the raw coal and the total combustible time.

[0087] In practice, the combustible time of the raw coal and the total combustible time can be used as the predicted combustible time, and early warning can be given based on the predicted combustible time.

[0088] For example, when T4=11:40, the remaining weight of raw coal is approximately 149t - 42t / h × 2.5h ≈ 44t, and the combustible time is approximately 44t ÷ 42t / h ≈ 1.05h, which is close to the warning threshold and can trigger an early warning.

[0089] This embodiment obtains the current coal feed rate and the real-time position of the interface after secondary coal blending adjustment; calculates the combustible time of the raw coal type based on the current coal feed rate and the remaining weight of the raw coal type; determines the position change value based on the real-time position and the initial position of the interface; calculates the coal quantity of the current coal type based on the position change value and the coal level-coal quantity curve; determines the total coal storage in the raw coal bunker based on the current coal quantity and the remaining weight of the raw coal type; calculates the total combustible time based on the total coal storage in the raw coal bunker and the current coal feed rate; and obtains the predicted combustion time based on the combustible time of the raw coal type and the total combustible time. Through the above steps, the combustible time of the raw coal type and all coal types in the raw coal bunker can be accurately predicted, providing a scientific basis for coal combustion management in power plants. When the predicted combustion time approaches the warning threshold, the system can automatically trigger the warning mechanism to remind operators to take timely countermeasures.

[0090] Based on the first embodiment of this application, in the fourth embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 4 After step S60, the method for tracking coal fed into the furnace and dynamically managing the coal bunker in a coal-fired power plant further includes steps S61 to S63: Step S61: Collect the inlet cold air temperature, inlet hot air temperature, cold air flow rate, hot air flow rate, and outlet air-coal temperature of the coal mill corresponding to the raw coal bunker.

[0091] It should be noted that, in response to the errors in coal quantity calculation caused by differences in coal density and fluctuations in coal level, a soft measurement method for air-coal thermal balance in the coal mill (which calculates coal moisture by measuring parameters such as air-coal temperature and flow rate) can be used to verify and correct the correspondence between coal level and coal quantity, thereby improving the accuracy of coal tracking into the furnace.

[0092] Therefore, the error correction module can collect data such as inlet air temperature, outlet air-coal temperature, cold air flow rate, and hot air flow rate of the coal mill corresponding to the raw coal bunker every hour. The inlet air temperature includes the inlet cold air temperature and the inlet hot air temperature.

[0093] Step S62: Calculate the actual coal moisture content based on the inlet cold air temperature, the inlet hot air temperature, the cold air flow rate, the hot air flow rate, and the outlet air-coal temperature.

[0094] Understandably, the actual moisture content of coal can be calculated by combining the heat balance formula Qabsorbed = Qreleased (heat absorption during evaporation of moisture in coal = heat release from hot and cold air).

[0095] For example, at time T5, 10:00, the inlet cold air temperature of the No. 1 coal mill corresponding to compartment A is 25℃, the inlet hot air temperature is 320℃, the cold air flow rate is 5000m³ / h, the hot air flow rate is 8000m³ / h, and the outlet air-coal temperature is 78℃. Q_release = V_cold × ρ_cold × c_cold × (t2 - t_cold) + V_hot × ρ_hot × c_hot × (t_hot - t2), where ρ is density, c is specific heat capacity, the outlet air-coal temperature t2 = 78℃, t_cold is the inlet cold air temperature, t_hot is the inlet hot air temperature, V_cold is the cold air flow rate, and V_hot is the hot air flow rate. The coal moisture content is calculated using the heat balance formula: Qrelease = Qabsorb = Mwater × (2501 + 1.86t2 - 4.187t1), where 2501 is the latent heat of vaporization of water, 1.86 is the specific heat capacity of water vapor at constant pressure, 4.187 is the specific heat capacity of water, and t1 = 25℃. The actual coal moisture content is calculated to be 13.5%.

[0096] Step S63: When the difference between the actual coal moisture content and the preset coal moisture content is greater than the preset moisture deviation threshold, the coal level-coal quantity curve is corrected to obtain the corrected coal level-coal quantity curve.

[0097] Understandably, error correction trigger conditions can be set in advance. For example, the preset coal moisture content can be set to 12%. When the difference between the actual coal moisture content and the preset coal moisture content is greater than a certain threshold, correction is triggered. For example, if the threshold is set to ≥2%, the difference between the actual coal moisture content of 13.5% and the preset coal moisture content of 12% is 1.5%, which is less than 2%, then there is no need to trigger the coal position-coal quantity curve. If the deviation of a certain calculation reaches 2.2%, then the coal position-coal quantity curve needs to be corrected. Specifically, the coal quantity value of the corresponding coal position in the curve is reduced by 1.8%. Experiments have verified that for every 1% increase in moisture content, the coal bulk density decreases by about 1.2%, ensuring the accuracy of subsequent coal quantity calculations.

[0098] This embodiment collects the inlet cold air temperature, inlet hot air temperature, cold air flow rate, hot air flow rate, and outlet air-coal temperature of the pulverizer corresponding to the raw coal bunker. Based on these parameters, the actual coal moisture content is calculated. When the difference between the actual coal moisture content and the preset coal moisture content exceeds a preset moisture deviation threshold, the coal level-coal quantity curve is corrected to obtain the corrected curve. By introducing a soft measurement method for pulverizer air-coal thermal balance, the problem of coal quantity calculation errors caused by differences in coal density and coal level fluctuations is effectively solved. The method collects key pulverizer parameters in real time, accurately calculates the actual coal moisture content using the thermal balance principle, and then dynamically corrects the coal level-coal quantity relationship. When the actual coal moisture content deviates from the preset value by more than the threshold, the system automatically triggers a correction mechanism to adjust the coal level-coal quantity curve to a state more consistent with actual operating conditions. This closed-loop correction method significantly improves the accuracy of coal tracking, providing reliable data support for subsequent coal blending strategy optimization and combustion adjustment.

[0099] For example, to help understand the implementation process of the coal-fired power plant coal tracking and coal bunker dynamic management method obtained by combining this embodiment with the above embodiment one, please refer to... Figure 5 , Figure 5 A simplified flowchart of a method for tracking coal fed into a coal-fired power plant and dynamically managing the coal bunker is provided. Specifically, the method involves: obtaining the change range of coal level and the current type of coal being fed; marking the type of coal being fed and the current type of coal; and calculating the interface and remaining combustible time based on the correspondence between coal level and coal quantity and the coal feeder's feed rate.

[0100] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the coal tracking and coal bunker dynamic management method for coal-fired power plants in this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0101] This application also provides a device for tracking coal entering the furnace and dynamically managing the coal bunker in a coal-fired power plant. Please refer to [reference needed]. Figure 6 The coal-fired power plant coal tracking and coal bunker dynamic management device includes: The reading module 10 is used to read the current coal type, current coal level and current unit load data of the raw coal bunker when the raw coal bunker enters the coal feeding process. The determining module 20 is used to determine the initial position of the interface between the current coal type and the raw coal bunker based on the current coal position and the current coal type. The determining module 20 is also used to determine the remaining weight of the raw coal type in the raw coal bunker based on the current coal level and the coal level-coal quantity curve; Adjustment module 30 is used to perform secondary coal blending adjustment on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit. The acquisition module 40 is used to acquire the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment, and to determine the predicted combustion time based on the current coal feed rate and the real-time position of the interface. The early warning module 50 is used to issue an early warning based on the predicted burning time.

[0102] The coal-fired power plant coal-feeding tracking and coal bunker dynamic management device provided in this application adopts the coal-fired power plant coal-feeding tracking and coal bunker dynamic management method in the above embodiments, which can solve the technical problems of significant time lag in traditional coal blending schemes and limitations in coal bunker management. Compared with the prior art, the beneficial effects of the coal-fired power plant coal-feeding tracking and coal bunker dynamic management device provided in this application are the same as the beneficial effects of the coal-fired power plant coal-feeding tracking and coal bunker dynamic management method provided in the above embodiments, and other technical features in the coal-fired power plant coal-feeding tracking and coal bunker dynamic management device are the same as those disclosed in the above embodiments, and will not be repeated here.

[0103] This application provides a coal-fired power plant coal-feeding tracking and coal bunker dynamic management device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the coal-fired power plant coal-feeding tracking and coal bunker dynamic management method in the above embodiment 1.

[0104] The following is for reference. Figure 7 This document illustrates a structural schematic diagram of a coal-fired power plant coal-feeding tracking and coal bunker dynamic management device suitable for implementing embodiments of this application. The coal-fired power plant coal-feeding tracking and coal bunker dynamic management device in this application embodiment may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), vehicle terminals (e.g., vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 7 The coal tracking and coal bunker dynamic management equipment shown in the example is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0105] like Figure 7As shown, the coal tracking and coal bunker dynamic management equipment for a coal-fired power plant may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in ROM (Read Only Memory) 1002 or the program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the coal tracking and coal bunker dynamic management equipment. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, LCDs (Liquid Crystal Displays), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the coal-fired power plant's coal-feed tracking and coal bunker dynamic management equipment to exchange data wirelessly or via wired communication with other devices. Although the figure shows coal-fired power plant coal-feed tracking and coal bunker dynamic management equipment with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0106] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0107] The coal-fired power plant coal-feeding tracking and coal bunker dynamic management equipment provided in this application adopts the coal-fired power plant coal-feeding tracking and coal bunker dynamic management method in the above embodiments, which can solve the technical problems of significant time lag in traditional coal blending schemes and limitations in coal bunker management. Compared with the prior art, the beneficial effects of the coal-fired power plant coal-feeding tracking and coal bunker dynamic management equipment provided in this application are the same as the beneficial effects of the coal-fired power plant coal-feeding tracking and coal bunker dynamic management method provided in the above embodiments, and other technical features in the coal-fired power plant coal-feeding tracking and coal bunker dynamic management equipment are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0108] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0109] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0110] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, which are used to execute the coal tracking and coal bunker dynamic management method for coal-fired power plants described in the above embodiments.

[0111] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory or Flash Memory), optical fibers, CD-ROM (CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0112] The aforementioned computer-readable storage medium may be included in the coal tracking and coal bunker dynamic management equipment of a coal-fired power plant; or it may exist independently and not be installed in the coal tracking and coal bunker dynamic management equipment of a coal-fired power plant.

[0113] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by the coal-fired power plant's coal-feeding tracking and coal bunker dynamic management equipment, the equipment performs the following actions: when the raw coal bunker enters the coal feeding process, it reads the current coal type, current coal level, and current unit load data of the raw coal bunker; determines the initial position of the interface between the current coal type and the raw coal bunker coal type based on the current coal level and the current coal type; determines the remaining weight of the raw coal type in the raw coal bunker according to the current coal level and the coal level-coal quantity curve; performs secondary coal blending adjustments on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current unit load data; obtains the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment, and determines the predicted combustion time based on the current coal feed rate and the real-time position of the interface; and issues an early warning based on the predicted combustion time.

[0114] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including LAN (Local Area Network) or WAN (Wide Area Network)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0116] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0117] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described method for tracking coal entering the furnace and dynamically managing the coal bunker in a coal-fired power plant. This solves the technical problems of significant time lag in traditional coal blending schemes and limitations in coal bunker management. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the coal-fired power plant coal tracking and dynamic coal bunker management method provided in the above embodiments, and will not be elaborated upon here.

[0118] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the above-described method for tracking coal entering the furnace and dynamically managing coal bunkers in a coal-fired power plant.

[0119] The computer program product provided in this application can solve the technical problems of significant time lag in traditional coal blending schemes and limitations in coal bunker management. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the coal-fired power plant coal tracking and coal bunker dynamic management method provided in the above embodiments, and will not be repeated here.

[0120] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for tracking coal fed into a coal-fired power plant and dynamically managing the coal bunker, characterized in that, The method for tracking coal fed into the furnace and dynamically managing the coal bunker in a coal-fired power plant includes: When the raw coal bunker enters the coal loading process, the current coal type, current coal level, and current unit load data of the raw coal bunker are read. The initial position of the interface between the current coal level and the current coal type is determined based on the current coal level and the current coal type. The remaining weight of the raw coal type in the raw coal bunker is determined based on the current coal level and the coal level-coal quantity curve. The raw coal bunker is adjusted for secondary coal blending based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit. The current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment are obtained, and the predicted combustion time is determined based on the current coal feed rate and the real-time position of the interface. Warnings are issued based on the predicted burning time.

2. The method as described in claim 1, characterized in that, The step of performing secondary coal blending adjustment on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit includes: The initial position of the interface is updated based on the remaining weight of the raw coal to obtain the updated position of the interface; The current coal type fed into the furnace is determined based on the updated position of the interface. The feeder output strategy and the pulverizer operation strategy are determined based on the current load data and the current type of coal fed into the furnace. The raw coal bunker is adjusted for secondary coal blending based on the feeder output strategy and the mill operation strategy.

3. The method as described in claim 2, characterized in that, The step of updating the initial position of the interface based on the remaining weight of the raw coal type to obtain the updated position of the interface includes: Within a preset time interval, the coal feed rate of the coal feeder in the raw coal bunker is obtained; The consumption of raw coal type within a preset time period is calculated based on the coal feeder's feed rate. The remaining weight of the raw coal type is updated based on the consumption of the raw coal type to obtain the updated remaining weight of the raw coal type; The real-time position of the interface is obtained based on the updated remaining weight of the original coal type and the coal position-coal quantity curve. The initial position of the sub-interface is updated based on its real-time position to obtain the updated position of the sub-interface.

4. The method as described in claim 2, characterized in that, The steps for determining the feeder output strategy and the pulverizer operation strategy based on the current load data and the current type of coal fed into the furnace include: When the current load data shows a decrease in the current load and the volatile matter content of the current coal type entering the furnace reaches a preset ratio, the current coal machine output of the raw coal bunker is reduced to a preset coal machine output, and the reduced preset coal machine output is used as the coal machine output strategy. Switch the current coal mill to the preset coal mill and set the outlet temperature of the preset coal mill. Use the preset coal mill and the outlet temperature as the coal mill operation strategy.

5. The method as described in claim 1, characterized in that, The steps of obtaining the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment, and determining the predicted combustion time based on the current coal feed rate and the real-time position of the interface, include: Obtain the current coal feed rate and real-time position of the interface after the secondary coal blending adjustment; The combustible time of the raw coal type is calculated based on the current coal feed rate and the remaining weight of the raw coal type. The position change value is determined based on the real-time position of the interface and the initial position of the interface; The amount of coal for the current coal type is calculated based on the location change value and the coal position-coal quantity curve. The total amount of coal stored in the raw coal bunker is determined based on the amount of coal of the current coal type and the remaining weight of the raw coal type. The total combustible time is calculated based on the total coal storage in the raw coal bunker and the current coal feed rate. The predicted burning time is obtained based on the combustible time of the raw coal and the total combustible time.

6. The method as described in claim 1, characterized in that, The method further includes: Collect the inlet cold air temperature, inlet hot air temperature, cold air flow rate, hot air flow rate, and outlet air-coal temperature of the coal mill corresponding to the raw coal bunker; The actual coal moisture content is calculated based on the inlet cold air temperature, the inlet hot air temperature, the cold air flow rate, the hot air flow rate, and the outlet air-coal temperature. When the difference between the actual coal moisture content and the preset coal moisture content exceeds the preset moisture deviation threshold, the coal level-coal quantity curve is corrected to obtain the corrected coal level-coal quantity curve.

7. The method as described in claim 1, characterized in that, The steps to establish a coal level-coal quantity curve include: Select multiple raw coal bunkers corresponding to the boiler of the unit; When the unit is shut down for maintenance, a preset quantity of known coal type is added to multiple raw coal bunkers. After the coal level in each raw coal bunker stabilizes, record the historical coal level values. Return to the step of adding a preset quantity of known coal type to multiple raw coal bunkers until the raw coal bunkers are full, and obtain multiple sets of coal level and coal quantity data; By fitting multiple sets of coal level and coal quantity data, a coal level-coal quantity curve is obtained.

8. The method as described in claim 1, characterized in that, The step of determining the initial position of the interface between the current coal type and the raw coal bunker based on the current coal level and the current coal type includes: Obtain the type of coal from the raw coal bunker; Compare whether the coal type in the raw coal bunker and the coal type currently being supplied are the same; When the coal type in the raw coal bunker and the coal type currently being fed are not the same, the current coal position is taken as the initial position of the interface between the current coal type being fed and the coal type in the raw coal bunker. When the coal type in the raw coal bunker and the coal type currently being fed are the same, the coal level height after feeding is taken as the initial position of the interface between the current coal type being fed and the coal type in the raw coal bunker.

9. The method according to any one of claims 1 to 8, characterized in that, Before the step of reading the current coal type, current coal level, and current unit load data of the raw coal bunker during the coal loading process, the method further includes: Real-time monitoring of coal level data in each raw coal bunker; The coal level change value is obtained based on the coal data. When the change in coal level exceeds a preset threshold, the raw coal bunker is determined to enter the coal loading process.

10. A device for tracking coal entering the furnace and dynamically managing the coal bunker in a coal-fired power plant, characterized in that, The device includes: The reading module is used to read the current coal type, current coal level, and current unit load data of the raw coal bunker when it enters the coal loading process. The determination module is used to determine the initial position of the interface between the current coal type and the raw coal bunker based on the current coal position and the current coal type. The determining module is also used to determine the remaining weight of the raw coal type in the raw coal bunker based on the current coal level and the coal level-coal quantity curve; The adjustment module is used to perform secondary coal blending adjustment on the raw coal bunker based on the remaining weight of the raw coal type, the initial position of the interface, and the current load data of the unit. The acquisition module is used to acquire the current coal feed rate and the real-time position of the interface after the secondary coal blending adjustment, and to determine the predicted combustion time based on the current coal feed rate and the real-time position of the interface. The early warning module is used to issue an early warning based on the predicted burning time.

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