Fire coal intelligent blending combustion control method and system based on PLC

Abstract

The invention discloses a PLC-based fire coal intelligent blending combustion control method and system, and the method comprises the steps: obtaining the combustion efficiency prediction data of future fire coal to construct a combustion efficiency change curve, and determining the combustion efficiency change stage in the combustion efficiency change curve; determining the efficiency change characteristics of each combustion efficiency change stage, and analyzing and calculating the combustion condition based on the efficiency change characteristics to obtain a combustion condition value; setting a corresponding fire coal blending combustion proportion according to the combustion condition value, and setting a blending combustion working condition of the PLC according to the fire coal blending combustion proportion; obtaining load change prediction data of a future boiler, and analyzing the load change prediction data to determine a correction coefficient of a blending combustion working condition of the PLC; and correcting the blending combustion working condition of the PLC according to the correction coefficient, and carrying out coal blending combustion control according to the corrected blending combustion working condition. According to the method, the blending combustion working condition of the PLC is optimized based on the prediction data, the stable operation of the fire coal combustion process and the boiler is ensured, the combustion efficiency of the fire coal is improved, the energy consumption is reduced, and the pollution to the environment is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of coal blending combustion, and particularly to an intelligent coal blending combustion control method and system based on PLC. Background Art

[0002] With the continuous development of industrial production and the increasing energy demand, coal, as one of the main energy sources, still plays an important role in many industrial fields. However, the traditional coal combustion process has problems such as low energy utilization efficiency and serious environmental pollution, and intelligent control methods are needed to improve the coal combustion efficiency, reduce emissions, and achieve clean and efficient combustion. The intelligent blending combustion control method based on the programmable logic controller (PLC) introduces advanced automatic control technology into the coal combustion process. As a flexible and programmable control device, PLC can achieve fine control and adjustment of the coal combustion process, improving the stability and efficiency of the system. Summary of the Invention

[0003] To solve the above technical problems, the present invention provides an intelligent coal blending combustion control method and system based on PLC, including: Obtain the predicted data of the combustion efficiency of future coal, construct a combustion efficiency change curve based on the predicted data of the combustion efficiency, and determine the combustion efficiency change stage in the combustion efficiency change curve; Determine the efficiency change characteristics of each combustion efficiency change stage, and analyze and calculate the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion status value; Set the corresponding coal blending ratio according to the combustion status value, and set the blending working conditions of PLC according to the coal blending ratio; Obtain the predicted data of the load change of the future boiler, analyze the predicted data of the load change of the boiler, and determine the correction coefficient of the blending working conditions of PLC according to the analysis result; Correct the blending working conditions of PLC according to the correction coefficient, and perform coal blending combustion control according to the corrected blending working conditions.

[0004] Further, the obtaining the predicted data of the combustion efficiency of future coal, constructing a combustion efficiency change curve based on the predicted data of the combustion efficiency, and determining the combustion efficiency change stage in the combustion efficiency change curve includes: Obtain the predicted data of the combustion efficiency of future coal output by a preset combustion efficiency prediction model, and construct a combustion efficiency change curve of the time progress based on the predicted data of the combustion efficiency; Obtain a preset standard combustion efficiency value, and determine the position of the standard combustion efficiency value in the combustion efficiency change curve; The combustion efficiency change curve is divided into several combustion efficiency change stages according to the position of the standard combustion efficiency value in the combustion efficiency change curve.

[0005] Further, determining the efficiency change characteristics of each combustion efficiency change stage, and analyzing and calculating the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion status value, including: The combustion efficiency change stage above the standard combustion efficiency value is used as the high-efficiency change stage, and the combustion efficiency change stage below the standard combustion efficiency value is used as the low-efficiency change stage; Determine the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, and determine the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage; Determine the first quantity of the combustion efficiency change stages in the high-efficiency change stage and the second quantity of the combustion efficiency change stages in the low-efficiency change stage, and calculate the sum of the first quantity and the second quantity to obtain the total quantity; Calculate the ratios between the first quantity and the total quantity and between the second quantity and the total quantity respectively, and determine the ratios as the weight corresponding to the high-efficiency change stage and the weight corresponding to the low-efficiency change stage; Determine the combustion status value of the coal based on the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage, the weight corresponding to the high-efficiency change stage, and the weight corresponding to the low-efficiency change stage.

[0006] Further, the determining the combustion status value of the coal based on the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage, the weight corresponding to the high-efficiency change stage, and the weight corresponding to the low-efficiency change stage includes: Calculate the combustion status value of the coal according to the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage, the weight corresponding to the high-efficiency change stage, and the weight corresponding to the low-efficiency change stage. The calculation formula for the combustion status value of the coal is: , where K is the combustion status value of the coal, α is the weight corresponding to the high-efficiency change stage, Pi is the average value corresponding to the i-th combustion efficiency change stage in the high-efficiency change stage, n is the number of combustion efficiency change stages in the high-efficiency change stage, β is the weight corresponding to the low-efficiency change stage, Qj is the average value corresponding to the j-th combustion efficiency change stage in the low-efficiency change stage, and m is the number of combustion efficiency change stages in the low-efficiency change stage.

[0007] Further, setting the corresponding coal blending ratio according to the combustion condition value, and setting the coal blending working conditions of the PLC according to the coal blending ratio, including: Presetting the corresponding relationship between the coal blending working conditions - coal blending ratio - combustion condition value range. Among them, for each combustion condition value range in the corresponding relationship between the coal blending working conditions - coal blending ratio - combustion condition value range, a corresponding coal blending ratio is associated, and for each coal blending ratio, a corresponding coal blending working condition is associated; Obtain the combustion condition value, and based on the mapping relationship of the combustion condition value range to which the combustion condition value belongs in the corresponding relationship between the coal blending ratio - combustion condition value range, select the coal blending ratio corresponding to the combustion condition value range as the corresponding coal blending ratio, and based on the mapping relationship of the coal blending ratio in the corresponding relationship between the coal blending working conditions - coal blending ratio, select the coal blending working condition corresponding to the coal blending ratio as the coal blending working condition of the PLC. Among them, the coal blending working conditions of the PLC include the feeder speed, the opening of the coal distribution valve, and the fan speed.

[0008] Further, obtaining the predicted data of the future load change of the boiler, analyzing the predicted data of the load change of the boiler, and determining the correction coefficient of the coal blending working conditions of the PLC according to the analysis result, including: Obtain the predicted data of the future load change of the boiler output by the preset load change prediction model, and calculate the average value of the predicted data of the load change and determine the median value of the predicted data of the load change; And calculate the correction coefficient of the coal blending working conditions of the PLC according to the median value and the average value of the predicted data of the load change. The calculation formula of the correction coefficient of the coal blending working conditions of the PLC is: , where, L is the correction coefficient of the coal blending working conditions of the PLC, V is the conversion coefficient, Z is the median value of the predicted data of the load change, Z0 is the preset median value, D is the average value of the predicted data of the load change, and D0 is the preset average value.

[0009] Further, correcting the coal blending working conditions of the PLC according to the correction coefficient, and controlling the coal blending according to the corrected coal blending working conditions, including: Correct each working condition in the coal blending working conditions of the PLC according to the correction coefficient, and control the coal blending according to the corrected coal blending working conditions.

[0010] The present invention also provides a coal intelligent blending control system based on the PLC, including: An acquisition module, configured to acquire future predicted data of the combustion efficiency of coal for combustion, construct a combustion efficiency change curve based on the predicted combustion efficiency data, and determine the combustion efficiency change stage in the combustion efficiency change curve; A calculation module, configured to determine the efficiency change characteristics of each combustion efficiency change stage, and analyze and calculate the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion status value; A setting module, configured to set a corresponding coal blending ratio according to the combustion status value, and set the blending working conditions of the PLC according to the coal blending ratio; A determination module, configured to acquire future predicted data of the load change of the boiler, analyze the predicted load change data of the boiler, and determine a correction coefficient for the blending working conditions of the PLC according to the analysis result; A control module, configured to correct the blending working conditions of the PLC according to the correction coefficient, and perform coal blending control according to the corrected blending working conditions.

[0011] Compared with the prior art, the intelligent coal blending control method and system based on PLC according to an embodiment of the present invention have the following beneficial effects: By analyzing the predicted combustion efficiency data in the future combustion process and constructing a curve of the combustion efficiency changing with time based on the predicted combustion efficiency data, the present invention can determine different combustion efficiency change stages according to the characteristics and change trends of the curve, and analyze its characteristics and efficiency change rules for each combustion efficiency change stage for subsequent coal blending control and optimization; The present invention sets a corresponding coal blending ratio according to the combustion status value, sets the blending working conditions of the PLC according to the blending ratio, and determines a correction coefficient for the blending working conditions of the PLC by acquiring and analyzing the predicted load change data of the boiler to adapt to the influence of the load change on the coal blending control, so as to correct the blending working conditions of the PLC, ensure that the coal blending control can adapt to the boiler load change, realize the optimal control of the coal combustion process, ensure the stable operation of the coal combustion process and the boiler, improve the combustion efficiency, reduce energy consumption, and reduce environmental pollution. Description of the Drawings

[0012] Figure 1 is a schematic flow structure diagram of the intelligent coal blending control method based on PLC in an embodiment of the present invention; Figure 2 is a schematic composition diagram of the intelligent coal blending control system based on PLC in an embodiment of the present invention. Detailed Embodiments

[0013] The following will further describe in detail the specific embodiments of the present application with reference to the drawings and embodiments. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0014] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present application.

[0015] The terms "first", "second" are only used for descriptive purposes and cannot be construed as indicating or implying a relative importance coefficient or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first", "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0016] In the description of the present application, it should be noted that unless otherwise clearly specified and defined, the terms "installed", "connected", "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection, an electrical connection; it may be directly connected, or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific circumstances.

[0017] As Figure 1 shown, in an embodiment of the present application, a coal intelligent blending combustion control method based on a PLC is provided, including: S100: Obtain the predicted data of the combustion efficiency of future coal, construct a combustion efficiency change curve based on the predicted data of the combustion efficiency, and determine the combustion efficiency change stage in the combustion efficiency change curve; S200: Determine the efficiency change characteristics of each combustion efficiency change stage, and analyze and calculate the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion status value; S300: Set the corresponding coal blending ratio according to the combustion status value, and set the blending working conditions of the PLC according to the coal blending ratio; S400: Obtain the predicted data of the load change of the future boiler, analyze the predicted data of the load change of the boiler, and determine the correction coefficient of the blending working conditions of the PLC according to the analysis result; S500: Correct the blending working conditions of the PLC according to the correction coefficient, and perform coal blending combustion control according to the corrected blending working conditions.

[0018] Furthermore, the present invention analyzes the predicted combustion efficiency data during the future combustion process, constructs a curve of the combustion efficiency varying with time based on the predicted combustion efficiency data, and can determine different combustion efficiency change stages according to the characteristics and change trends of the curve. For each combustion efficiency change stage, its characteristics and efficiency change laws are analyzed to facilitate subsequent coal blending combustion control and optimization. The present invention sets the corresponding coal blending ratio according to the combustion condition value, also sets the coal blending working conditions of the PLC according to the blending ratio, and determines the correction coefficient of the PLC coal blending working conditions by obtaining and analyzing the predicted data of the boiler load change, so as to adapt to the influence of the load change on the coal blending combustion control, correct the coal blending working conditions of the PLC, ensure that the coal blending combustion control can adapt to the boiler load change, realize the optimal control of the coal combustion process, ensure the stable operation of the coal combustion process and the boiler, improve the combustion efficiency, reduce energy consumption, and reduce environmental pollution.

[0019] In an embodiment of the present application, a PLC-based intelligent coal blending combustion control method is provided. The obtaining of the predicted combustion efficiency data of future coal, constructing a combustion efficiency change curve based on the predicted combustion efficiency data, and determining the combustion efficiency change stages in the combustion efficiency change curve include: obtaining the predicted combustion efficiency data of future coal output by a preset combustion efficiency prediction model, and constructing a combustion efficiency change curve of the time progress based on the predicted combustion efficiency data; obtaining a preset standard combustion efficiency value, and determining the position of the standard combustion efficiency value in the combustion efficiency change curve; dividing the combustion efficiency change curve into several combustion efficiency change stages according to the position of the standard combustion efficiency value in the combustion efficiency change curve.

[0020] Specifically, the data output by the preset combustion efficiency prediction model is used to plot the curve of the combustion efficiency of coal varying with time, and these data include the predicted values of the combustion efficiency plotted according to different time points; in the combustion efficiency change curve, a preset standard combustion efficiency value is selected, and this value represents the desired combustion efficiency level; the combustion efficiency change curve is divided into different stages according to the position of the standard combustion efficiency value. This step can help analyze the change law of the efficiency during the coal combustion process by constructing the combustion efficiency change curve and dividing the combustion efficiency change stages, and provide a reference basis for optimizing the coal combustion efficiency; dividing the coal combustion efficiency change curve into different stages helps to achieve refined control of different stages, adjust the control strategy according to the actual situation, and improve the stability and efficiency of the system; by incorporating the standard combustion efficiency value into the combustion efficiency change curve, the gap between the system operation state and the expected efficiency can be quantitatively analyzed, providing data support for further optimizing the control.

[0021] In an embodiment of the present application, a coal intelligent blending combustion control method based on PLC is provided. Determining the efficiency change characteristics of each combustion efficiency change stage, and analyzing and calculating the combustion condition based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion condition value, including: regarding the combustion efficiency change stage above the standard combustion efficiency value as the high-efficiency change stage, and regarding the combustion efficiency change stage below the standard combustion efficiency value as the low-efficiency change stage; determining the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, and determining the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage; determining the first quantity of the combustion efficiency change stages in the high-efficiency change stage and the second quantity of the combustion efficiency change stages in the low-efficiency change stage, and calculating the sum of the first quantity and the second quantity to obtain the total quantity; respectively calculating the ratios between the first quantity and the total quantity and between the second quantity and the total quantity, and respectively determining the ratios as the weight corresponding to the high-efficiency change stage and the weight corresponding to the low-efficiency change stage; determining the combustion condition value of the coal based on the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage, the weight corresponding to the high-efficiency change stage, and the weight corresponding to the low-efficiency change stage.

[0022] Specifically, according to the standard combustion efficiency value, the combustion efficiency change curve is divided into a high-efficiency change stage and a low-efficiency change stage. The high-efficiency change stage refers to the stage above the standard combustion efficiency value, while the low-efficiency change stage refers to the stage below the standard combustion efficiency value; in the high-efficiency change stage and the low-efficiency change stage, the average value corresponding to each combustion efficiency change stage is calculated respectively, and these average values can represent the average level of the coal combustion efficiency in this stage; the quantity of the combustion efficiency change stages in the high-efficiency change stage and the low-efficiency change stage is determined, the first quantity and the second quantity are calculated respectively, and the total quantity is calculated. Then, the ratios of the first quantity and the second quantity to the total quantity are calculated to obtain the weights corresponding to the high-efficiency change stage and the low-efficiency change stage; according to the average value of each combustion efficiency change stage in the high-efficiency change stage and the low-efficiency change stage and their corresponding weights, the combustion condition value of the coal is determined. This value can reflect the overall efficiency and state in the coal combustion process. This step can quantitatively evaluate and analyze the coal combustion efficiency by calculating the average value and weight of the coal combustion efficiency change stage, and by subdividing the coal combustion efficiency change stage and calculating the average value and weight of each stage, refined control of different stages can be achieved, and the control strategy can be adjusted according to the coal combustion state; by determining the combustion condition value of the coal, a basis can be provided for further optimizing the coal combustion efficiency, helping to improve energy utilization efficiency and reduce emissions.

[0023] In an embodiment of the present application, a coal combustion intelligent blending control method based on PLC is provided. The combustion condition value of coal is determined based on the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage, the weight corresponding to the high-efficiency change stage, and the weight corresponding to the low-efficiency change stage, including: calculating the combustion condition value of coal according to the average value corresponding to each combustion efficiency change stage in the high-efficiency change stage, the average value corresponding to each combustion efficiency change stage in the low-efficiency change stage, the weight corresponding to the high-efficiency change stage, and the weight corresponding to the low-efficiency change stage. The calculation formula of the combustion condition value of coal is: , where K is the combustion condition value of coal, α is the weight corresponding to the high-efficiency change stage, Pi is the average value corresponding to the i-th combustion efficiency change stage in the high-efficiency change stage, n is the number of combustion efficiency change stages in the high-efficiency change stage, β is the weight corresponding to the low-efficiency change stage, Qj is the average value corresponding to the j-th combustion efficiency change stage in the low-efficiency change stage, and m is the number of combustion efficiency change stages in the low-efficiency change stage.

[0024] In an embodiment of the present application, a coal combustion intelligent blending control method based on PLC is provided. The corresponding coal blending ratio is set according to the combustion condition value, and the blending working conditions of PLC are set according to the coal blending ratio, including: presetting the corresponding relationship between the blending working conditions - coal blending ratio - combustion condition value interval. Among them, for each combustion condition value interval in the corresponding relationship between the coal blending working conditions - blending ratio - combustion condition value interval, a corresponding coal blending ratio is associated, and for each coal blending ratio, a corresponding coal blending working condition is associated; obtaining the combustion condition value, based on the mapping relationship of the combustion condition value interval to which the combustion condition value belongs in the corresponding relationship between the coal blending ratio - combustion condition value interval, selecting the coal blending ratio corresponding to the combustion condition value interval as the corresponding coal blending ratio, and based on the mapping relationship of the coal blending ratio in the corresponding relationship between the coal blending working conditions - blending ratio, selecting the coal blending working condition corresponding to the coal blending ratio as the blending working condition of PLC, where the blending working conditions of PLC include the feeder speed, the opening degree of the coal distribution valve, and the fan speed.

[0025] Specifically, preset the coal blending ratio and blending working conditions corresponding to different combustion condition value ranges in advance. Each combustion condition value range is associated with a specific coal blending ratio, and each coal blending ratio is associated with a specific blending working condition; by obtaining the actual combustion condition value, determine the combustion condition value range to which the value belongs, and select the corresponding coal blending ratio according to the mapping relationship within the coal blending ratio - combustion condition value range correspondence; then, select the corresponding coal blending working condition according to the mapping relationship within the blending working condition - coal blending ratio correspondence, including the feeder speed, coal distribution valve opening, and fan speed. By establishing the mapping relationship between the coal blending ratio and the blending working conditions, this step can achieve the automatic control of the coal blending process. According to the change of the actual combustion condition value, the coal blending ratio and the blending working conditions can be automatically adjusted to improve the combustion efficiency and stability; by accurately mapping the combustion condition value to the coal blending ratio and the blending working conditions, the refined management and optimization of the coal blending process can be achieved, and the blending ratio and working conditions can be adjusted according to the change of different combustion condition values to achieve the best coal combustion effect; by adjusting the coal blending ratio and the blending working conditions according to the actual combustion condition value, the energy utilization efficiency can be effectively improved, the energy consumption and emissions can be reduced, and the goal of energy conservation and emission reduction can be achieved.

[0026] In an embodiment of the present application, a PLC - based intelligent coal blending control method for coal - fired boilers is provided. The method includes obtaining future load change prediction data of the boiler, analyzing the load change prediction data of the boiler, and determining a correction coefficient for the blending working conditions of the PLC according to the analysis result, including: obtaining the future load change prediction data of the boiler output by a preset load change prediction model, calculating the average value of the load change prediction data, and determining the median value of the load change prediction data; and calculating the correction coefficient for the blending working conditions of the PLC according to the median value and the average value of the load change prediction data. The calculation formula for the correction coefficient for the blending working conditions of the PLC is as follows: , where L is the correction coefficient for the blending working conditions of the PLC, V is the conversion coefficient, Z is the median value of the load change prediction data, Z0 is the preset median value, D is the average value of the load change prediction data, and D0 is the preset average value.

[0027] Specifically, obtain the predicted data of the future load change of the boiler from the output of the preset load change prediction model. These data represent the change of the boiler load over a future period of time and are used to predict the future operating state. For the obtained predicted load change data, calculate its average value and median value. The average value can reflect the overall trend of the data set, while the median value represents the middle value of the data set and is not sensitive to outliers. Based on the median value and average value of the predicted load change data, calculate a correction coefficient to adapt to the prediction of future load changes. This step can achieve dynamic adjustment of the co-firing working conditions of the PLC by calculating the correction coefficient according to the predicted load change data, and timely adjust the co-firing working conditions according to the predicted load change to ensure that the boiler maintains high efficiency and stability during future operation. By calculating the correction coefficient according to the predicted load change data, the PLC can make corresponding adjustments under the predicted load change conditions, improving the operating efficiency and energy utilization efficiency of the boiler. By dynamically adjusting the co-firing working conditions, it can better adapt to the prediction of future load changes, avoid energy waste and unnecessary costs, and help reduce the operating cost of the boiler and improve economic benefits.

[0028] In an embodiment of the present application, a coal intelligent co-firing control method based on PLC is provided. The co-firing working conditions of the PLC are corrected according to the correction coefficient, and coal co-firing control is performed according to the corrected co-firing working conditions, including: correcting each working condition in the co-firing working conditions of the PLC one by one according to the correction coefficient, and controlling the co-firing of coal according to the corrected co-firing working conditions.

[0029] Specifically, for each co-firing working condition, such as the feeder speed, the opening of the coal blending valve, and the fan speed, perform corrections one by one according to the previously calculated correction coefficient. The correction can be to increase or decrease the value of the working condition to make the co-firing process more in line with the predicted load change. By correcting the co-firing working conditions of the PLC, in fact, the set values of various parameters in the co-firing process are adjusted, thereby controlling the co-firing ratio of coal and the stability of the combustion process, ensuring the full combustion of coal, and improving the efficiency and performance of the boiler. This step can achieve precise control of the coal co-firing ratio by correcting each co-firing working condition. Adjusting the co-firing working conditions according to the correction coefficient can make the co-firing ratio of coal more accurately adapt to the predicted load change and improve the combustion efficiency. By correcting the co-firing working conditions, the combustion process can be optimized to ensure the full combustion and combustion stability of coal, helping to reduce energy waste and emissions and improve the performance and efficiency of the boiler. Precise adjustment of the co-firing working conditions can improve the stability and reliability of the system. By correcting the co-firing working conditions according to the predicted data, it can better cope with load changes, ensure the effective utilization of coal, and reduce operating risks.

[0030] Such asFigure 2 As shown in Figure 2 , in an embodiment of the present application, an intelligent coal blending control system based on a PLC is provided, including: an acquisition module, configured to acquire predicted data of the combustion efficiency of future coal, construct a combustion efficiency change curve based on the predicted data of the combustion efficiency, and determine the combustion efficiency change stage in the combustion efficiency change curve; a calculation module, configured to determine the efficiency change characteristics of each combustion efficiency change stage, and analyze and calculate the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion status value; a setting module, configured to set a corresponding coal blending ratio according to the combustion status value, and set the coal blending working conditions of the PLC according to the coal blending ratio; a determination module, configured to acquire predicted data of the load change of the future boiler, analyze the predicted data of the load change of the boiler, and determine a correction coefficient for the coal blending working conditions of the PLC according to the analysis result; and a control module, configured to correct the coal blending working conditions of the PLC according to the correction coefficient, and perform coal blending control according to the corrected coal blending working conditions.

[0031] In summary, the embodiment of the present invention provides an intelligent coal blending control method and system based on a PLC, including: acquiring predicted data of the combustion efficiency of future coal to construct a combustion efficiency change curve, and determining the combustion efficiency change stage therein; determining the efficiency change characteristics of each combustion efficiency change stage, and analyzing and calculating the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion status value; setting a corresponding coal blending ratio according to the combustion status value, and setting the coal blending working conditions of the PLC according to the coal blending ratio; acquiring predicted data of the load change of the future boiler, analyzing the predicted data of the load change of the boiler, and determining a correction coefficient for the coal blending working conditions of the PLC according to the analysis result; correcting the coal blending working conditions of the PLC according to the correction coefficient, and performing coal blending control according to the corrected coal blending working conditions. The present invention optimizes the coal blending working conditions of the PLC based on predicted data, ensures the stable operation of the coal combustion process and the boiler, improves the combustion efficiency of coal, reduces energy consumption, and reduces environmental pollution.

[0032] Finally, it should be noted that: Obviously, those skilled in the art can make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

[0033] The above is only one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made based on the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the protection scope of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process and related descriptions of the above-described platform can refer to the corresponding process in the foregoing platform embodiment, and will not be repeated here.

[0034] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, so that a process, platform, article, or apparatus / platform that comprises a series of elements includes not only those elements but also other elements not expressly listed, or elements that are inherent to these processes, platforms, articles, or apparatus / platforms.

[0035] So far, the technical solution of the present invention has been described in connection with the further embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0036] The above is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A PLC-based intelligent coal blending control method, characterized in that: include: Obtaining future coal combustion efficiency prediction data, constructing a combustion efficiency change curve based on the combustion efficiency prediction data, and determining a combustion efficiency change stage in the combustion efficiency change curve; Determining efficiency change characteristics at each combustion efficiency change stage, and analyzing and calculating the combustion status based on the efficiency change characteristics at each combustion efficiency change stage to obtain a combustion status value; Set the corresponding coal blending ratio according to the combustion status value, and set the PLC blending working conditions according to the coal blending ratio; Obtain the forecast data of the future boiler load change, analyze the forecast data of the boiler load change, and determine the correction coefficient of the PLC's blending working conditions based on the analysis results; The blending and burning working conditions of the PLC are corrected according to the correction coefficient, and the coal blending and burning control is performed according to the corrected blending and burning working conditions.

2. The PLC-based intelligent coal blending control method according to claim 1 is characterized in that: The obtaining of future coal combustion efficiency prediction data, constructing a combustion efficiency change curve based on the combustion efficiency prediction data, and determining a combustion efficiency change stage in the combustion efficiency change curve includes: Obtaining future coal combustion efficiency prediction data output by a preset combustion efficiency prediction model, and constructing a time-progress combustion efficiency change curve based on the combustion efficiency prediction data; Obtaining a preset standard combustion efficiency value, and determining a position of the standard combustion efficiency value in a combustion efficiency variation curve; The combustion efficiency change curve is divided into several combustion efficiency change stages according to the position of the standard combustion efficiency value in the combustion efficiency change curve.

3. The PLC-based intelligent coal blending control method according to claim 2 is characterized in that: The determining of the efficiency change characteristics of each combustion efficiency change stage, and analyzing and calculating the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain the combustion status value includes: The combustion efficiency change stage above the standard combustion efficiency value is regarded as a high efficiency change stage, and the combustion efficiency change stage below the standard combustion efficiency value is regarded as a low efficiency change stage; Determine the average value corresponding to each combustion efficiency change stage in the high efficiency change stage, and determine the average value corresponding to each combustion efficiency change stage in the low efficiency change stage; Determining a first number of combustion efficiency change stages in the high efficiency change stage and a second number of combustion efficiency change stages in the low efficiency change stage, and calculating the sum of the first number and the second number to obtain a total number; Calculating ratios between the first quantity and the total quantity and the second quantity and the total quantity respectively, and determining the ratios as weights corresponding to the high-efficiency change stage and the low-efficiency change stage respectively; The combustion condition value of coal is determined based on the average value corresponding to each combustion efficiency change stage in the high efficiency change stage and the average value corresponding to each combustion efficiency change stage in the low efficiency change stage, as well as the weight corresponding to the high efficiency change stage and the weight corresponding to the low efficiency change stage.

4. The intelligent coal blending control method based on PLC according to claim 3 is characterized in that: The method of determining the combustion status value of the coal based on the average value corresponding to each combustion efficiency change stage in the high efficiency change stage and the average value corresponding to each combustion efficiency change stage in the low efficiency change stage, as well as the weight corresponding to the high efficiency change stage and the weight corresponding to the low efficiency change stage, includes: The combustion status value of the coal is calculated according to the average value corresponding to each combustion efficiency change stage in the high efficiency change stage, the average value corresponding to each combustion efficiency change stage in the low efficiency change stage, the weight corresponding to the high efficiency change stage, and the weight corresponding to the low efficiency change stage. The calculation formula of the combustion status value of the coal is: ， Among them, K is the combustion condition value of coal, α is the weight corresponding to the high efficiency change stage, Pi is the average value corresponding to the i-th combustion efficiency change stage in the high efficiency change stage, n is the number of combustion efficiency change stages in the high efficiency change stage, β is the weight corresponding to the low efficiency change stage, Qj is the average value corresponding to the j-th combustion efficiency change stage in the low efficiency change stage, and m is the number of combustion efficiency change stages in the low efficiency change stage.

5. The PLC-based intelligent coal blending control method according to claim 3 is characterized in that: The method of setting the corresponding coal blending ratio according to the combustion status value and setting the blending working conditions of the PLC according to the coal blending ratio includes: Preset the corresponding relationship between the blending working condition, the blending ratio of coal and the combustion status value interval, wherein the corresponding relationship between the blending working condition, the blending ratio and the combustion status value interval is associated with a corresponding coal blending ratio for each combustion status value interval, and each coal blending ratio is associated with a corresponding coal blending working condition; Obtain the combustion condition value, and based on the mapping relationship between the combustion condition value interval to which the combustion condition value belongs and the corresponding relationship between the coal blending ratio and the combustion condition value interval, select the coal blending ratio corresponding to the combustion condition value interval as the corresponding coal blending ratio, and based on the mapping relationship between the coal blending ratio and the corresponding relationship between the coal blending working conditions and the blending ratio, select the coal blending working conditions corresponding to the coal blending ratio as the blending working conditions of the PLC, wherein the blending working conditions of the PLC include the speed of the coal feeder, the opening of the coal blending valve and the speed of the fan.

6. The method for intelligent coal blending control based on PLC according to claim 5 is characterized in that: The method of obtaining the predicted data of the load change of the boiler in the future, analyzing the predicted data of the load change of the boiler, and determining the correction coefficient of the blending working condition of the PLC according to the analysis result includes: Obtaining future boiler load change prediction data output by a preset load change prediction model, calculating an average value of the load change prediction data, and determining a median value of the load change prediction data; The correction coefficient of the PLC's blended combustion working conditions is calculated based on the median and average values ​​of the load change prediction data. The calculation formula for the correction coefficient of the PLC's blended combustion working conditions is: ， Among them, L is the correction coefficient of the PLC's blending working conditions, V is the conversion coefficient, Z is the median value of the load change prediction data, Z0 is the preset median value, D is the average value of the load change prediction data, and D0 is the preset average value.

7. The PLC-based intelligent coal blending control method according to claim 6 is characterized in that: The method of correcting the blending and burning working conditions of the PLC according to the correction coefficient and controlling the blending and burning of coal according to the corrected blending and burning working conditions includes: Each working condition in the blending working condition of the PLC is corrected one by one according to the correction coefficient, and the blending of the fuel coal is controlled according to the corrected blending working condition.

8. A PLC-based intelligent coal blending control system, characterized in that: include: An acquisition module is used to acquire the combustion efficiency prediction data of future coal combustion, construct a combustion efficiency change curve based on the combustion efficiency prediction data, and determine the combustion efficiency change stage in the combustion efficiency change curve; A calculation module, used to determine the efficiency change characteristics of each combustion efficiency change stage, and analyze and calculate the combustion status based on the efficiency change characteristics of each combustion efficiency change stage to obtain a combustion status value; The setting module is used to set the corresponding coal blending ratio according to the combustion status value, and set the blending working conditions of the PLC according to the coal blending ratio; The determination module is used to obtain the future load change prediction data of the boiler, analyze the load change prediction data of the boiler, and determine the correction coefficient of the PLC's blending working conditions according to the analysis results; The control module is used to correct the blending and burning working conditions of the PLC according to the correction coefficient, and to control the coal blending and burning according to the corrected blending and burning working conditions.

Images