Coal-saving catalyst control method for coal-fired power plant

Abstract

The invention discloses a coal-saving catalyst control method for a coal-fired power plant, and the method comprises the steps: constructing a fire coal working condition category table which comprises a plurality of fire coal working condition categories, and each fire coal working condition category is provided with a plurality of attention factors; an attention factor of the real-time coal-fired working condition is obtained, the coal-fired working condition category of the real-time coal-fired working condition is determined, and an initial control method of the coal-saving catalyst is set according to the coal-fired working condition category of the real-time coal-fired working condition; generating a simulation coal-saving catalyst control model based on the real-time coal combustion working condition and the initial control method, and generating a simulation coal-saving evaluation value of the initial control method based on the simulation coal-saving catalyst control model; whether the initial control method is corrected or not is judged according to the simulated coal-saving evaluation value, if yes, a second control method is generated, a control instruction of the coal-saving catalyst is generated according to the second control method, the coal-saving efficiency of the coal-saving catalyst is continuously improved, and then the coal-saving effect and economic benefits of a coal-fired power plant are improved.

Description

Technical Field

[0001] The present application relates to the technical field of coal-saving catalysts, and in particular to a method for controlling a coal-saving catalyst for a coal-fired power plant. Background Art

[0002] As we all know, coal in actual applications cannot be completely burned ideally, and part of the heat is wasted. If we start with the raw coal and let the coal burn more completely, we can effectively achieve energy conservation and consumption reduction. Using coal-saving catalysts to promote further burning of raw coal is a direct, simple, fast and effective way to save coal.

[0003] In the prior art, by setting the control parameters of the coal-saving catalyst according to the workers' experience, it is not possible to ensure that the energy-saving catalyst can achieve the maximum coal-saving efficiency, thereby reducing the coal-saving amount and economic benefits of the coal-fired power plant. Summary of the invention

[0004] In order to solve the above-mentioned technical problems, the present application provides a coal-saving catalyst control method for a coal-fired power plant. By determining the coal-fired operating condition category of the real-time coal-fired operating condition, an initial control method of the coal-saving catalyst is set, and the initial control method is simulated to obtain a simulated coal-saving evaluation value of the initial control method. According to the simulated coal-saving evaluation value, it is determined whether the initial control method needs to be corrected. By determining the control method and evaluating the application effect of the control method, the coal-saving efficiency of the coal-saving catalyst is continuously improved, thereby improving the coal-saving effect and economic benefits of the coal-fired power plant.

[0005] In some embodiments of the present application, a method for controlling a coal-saving catalyst for a coal-fired power plant is provided, comprising: Constructing a coal-fired operating condition category table, wherein the coal-fired operating condition category table includes a plurality of coal-fired operating condition categories, and each coal-fired operating condition category is set with a plurality of attention factors; Obtaining a focus factor of a real-time coal-fired operating condition, determining a coal-fired operating condition category of the real-time coal-fired operating condition, and setting an initial control method of a coal-saving catalyst according to the coal-fired operating condition category of the real-time coal-fired operating condition; Generate a simulated coal-saving catalyst control model based on real-time coal-burning conditions and an initial control method, and generate a simulated coal-saving evaluation value of the initial control method based on the simulated coal-saving catalyst control model; It is determined whether to modify the initial control method according to the simulated coal saving evaluation value. If so, a second control method is generated, and a control instruction of the coal saving catalyst is generated according to the second control method.

[0006] In some embodiments of the present application, a coal-fired operating condition category table is constructed, including: Setting multiple demand evaluation indicators for coal-saving catalysts; Obtain historical coal-fired operating condition logs and extract historical operating condition parameters and corresponding historical coal-saving catalyst requirements in each coal-fired operating condition log; Performing correlation analysis on each historical operating condition parameter and multiple demand evaluation indicators of the coal-saving catalyst to obtain the correlation between each historical operating condition parameter and each demand evaluation indicator; The historical operating condition parameters with a correlation greater than a preset correlation threshold are set as characteristic operating condition parameters corresponding to the demand evaluation index; The characteristic operating condition parameters of each demand evaluation index of different coal-fired operating condition logs and the historical coal-saving catalyst demand of different coal-fired operating condition logs are used to generate the first similarity degree and the second similarity degree between different coal-fired operating condition logs; If the first similarity between different coal-fired operating condition logs is greater than a preset first similarity threshold and the second similarity is greater than a preset second similarity threshold, then the characteristic operating condition parameters of the current different coal-fired operating condition logs are set to the same category of coal-fired operating conditions; The characteristic operating condition parameters of the same category of coal-fired operating conditions and the parameter range of each characteristic operating condition parameter are set as the attention factor of the corresponding category of coal-fired operating conditions.

[0007] In some embodiments of the present application, generating a first similarity degree and a second similarity degree of different coal combustion condition logs includes: The characteristic operating condition parameters of each demand evaluation index of different coal-fired operating condition logs are compared to obtain the parameter difference of the same characteristic operating condition parameters of the same demand evaluation index of different coal-fired operating condition logs, and the similarity coefficient corresponding to the same characteristic operating condition parameters is generated according to the parameter difference; Generate a first similarity degree of different coal-fired operating condition logs according to similarity coefficients of characteristic operating condition parameters of all demand evaluation indicators in different coal-fired operating condition logs; The calculation formula of the first similarity degree is:

[0008] Where D is the first similarity of different coal-fired operating logs, is the similarity coefficient of the i1th identical characteristic operating condition parameter of the first demand evaluation index of different coal-fired operating condition logs, a1 is the weight coefficient of the first demand evaluation index, is the similarity coefficient of the i2th identical characteristic operating condition parameter of the second demand evaluation index of different coal-fired operating condition logs, a2 is the weight coefficient of the second demand evaluation index, is the similarity coefficient of the ijth same characteristic operating condition parameter of the jth demand evaluation indicator of different coal-fired operating condition logs, aj is the weight coefficient of the jth demand evaluation indicator, j is the total number of demand evaluation indicators, n1 is the total number of characteristic operating condition parameters of the first demand evaluation indicator, n2 is the total number of characteristic operating condition parameters of the second demand evaluation indicator, and nj is the total number of characteristic operating condition parameters of the jth demand evaluation indicator; The historical coal-saving catalyst demands of different coal-fired operating condition logs are compared to obtain demand differences, and the second similarity of the different coal-fired operating condition logs is generated according to the demand differences.

[0009] In some embodiments of the present application, an initial control method for generating a coal-saving catalyst according to a coal-fired operating condition category of a real-time coal-fired operating condition includes: Obtain characteristic operating condition parameters of the real-time coal-fired operating condition and the parameter range of each characteristic operating condition parameter, and compare them with the attention factor of each coal-fired operating condition category in the coal-fired operating condition category table, and determine the coal-fired operating condition category of the real-time coal-fired operating condition according to the comparison result; Determine a corresponding coal-saving catalyst control strategy library according to the coal-fired operating condition category of the real-time coal-fired operating condition, wherein the coal-saving catalyst control strategy library includes several historical control methods of the coal-saving catalyst of the current coal-fired operating condition category, and each historical control method is associated with a specific change feature; A historical coal-saving evaluation value of a corresponding historical control method is generated according to the change characteristics, and several historical control methods are sorted according to the historical coal-saving evaluation value, and the first-ranked historical control method is set as the initial control method of the coal-saving catalyst under the current real-time coal-fired condition, wherein the initial control method includes multiple initial control parameters.

[0010] In some embodiments of the present application, generating a historical coal saving evaluation value corresponding to the historical control method according to the change characteristics includes: Preset multiple coal-saving evaluation indicators, and set characteristic data of each coal-saving evaluation indicator and a preferred data interval of each characteristic data; Obtain the control period of each historical control method, set a preset time interval according to the control period and generate multiple collection time nodes, take the control period as the time reference line, collect the historical characteristic data and historical control parameters corresponding to each historical control method according to the collection time nodes, and map them to the corresponding time reference line to obtain the characteristic data-control parameter relationship diagram; Perform change gradient analysis on the historical characteristic data in the characteristic data-control parameter relationship diagram, and mark the acquisition time nodes where the change gradient of the historical characteristic data is greater than a preset first change gradient threshold; Performing a change gradient analysis on the historical control parameters of the adjacent acquisition time node before the marked acquisition time node, if there is a change gradient of one or more historical control parameters greater than a preset second change gradient threshold, setting the change value, change trend and change rate of the historical feature data at the marked acquisition time node as the change feature of the corresponding historical feature data; Setting the historical control parameter whose change gradient is greater than a preset second change gradient threshold as the associated control parameter corresponding to the historical feature data, and mapping the change feature with the associated control parameter; Analyze the change value, change trend and change rate in the change characteristics of the historical characteristic data of the same historical control method based on the preferred data interval of all characteristic data to obtain the change coefficient of the corresponding historical characteristic data; The change coefficients of all historical characteristic data of the same historical control method and the weight coefficients of the corresponding historical characteristic data are used to generate the historical coal saving evaluation value of the corresponding historical control method.

[0011] In some embodiments of the present application, the calculation formula of the historical coal saving evaluation value is: ; Among them, P is the historical coal saving evaluation value, m2 is the total number of historical characteristic data, mf is the total number of change characteristics of the f-th historical characteristic data, Ys,f is the change coefficient of the s-th change characteristic of the f-th historical characteristic data, and Qf is the weight coefficient of the f-th historical characteristic data.

[0012] In some embodiments of the present application, a simulated coal-saving catalyst control model is generated based on real-time coal-burning conditions and an initial control method, including: Obtaining device information and connection information of relevant equipment, and constructing a simulation model of the real-time coal-fired working condition based on the working condition parameters of the real-time coal-fired working condition and combining a preset modeling method; Acquire the initial control parameters to be set according to the initial control method, and establish a predictive dynamic relationship between the initial control parameters to be set and the real-time characteristic data; According to the fluctuation characteristics of historical operating parameters in the coal-fired operating condition category corresponding to the real-time coal-fired operating condition in different historical periods, the operating parameters of the real-time coal-fired operating condition in different future periods are predicted, and the simulation model of the real-time coal-fired operating condition is optimized; A position connection is established based on the predicted dynamic relationship and the optimized simulation model of the real-time coal-fired operating condition, and a simulation coal-saving catalyst control model of the real-time coal-fired operating condition is obtained.

[0013] In some embodiments of the present application, judging whether to modify the initial control method according to the simulated coal saving evaluation value includes: Based on the simulation coal-saving catalyst control model, the simulation change characteristics of each real-time characteristic data in the simulation period are obtained; Generate a simulated coal-saving evaluation value of the initial control method according to the simulated change characteristics of all real-time characteristic data; Subtract the simulated coal saving evaluation value from the historical coal saving evaluation value of the initial control method to obtain the coal saving evaluation value difference; If the difference in the coal-saving evaluation value is less than the preset difference in the coal-saving evaluation value, the initial control method is not adjusted, and a control instruction for the coal-saving catalyst of the real-time coal-burning condition is generated according to the initial control method; If the difference in the coal-saving evaluation value is greater than the preset difference in the coal-saving evaluation value, the initial control parameters that need to be corrected in the initial control method are screened out, and a second control method is generated.

[0014] In some embodiments of the present application, generating a second control method includes: If the difference in the coal-saving evaluation value is greater than the preset difference in the coal-saving evaluation value, the simulation change coefficient corresponding to the simulation change feature of each real-time characteristic data in the simulation period is analyzed, and the simulation change features whose simulation change coefficient is less than the preset change coefficient threshold are screened out; Based on the principle of comparing time nodes of the same proportion, the change characteristics corresponding to the selected simulation change characteristics and the associated control parameters of the change characteristic mapping are determined, and the current associated control parameters are set as the initial control parameters that need to be corrected in the initial control method; According to the difference between the simulation variation coefficient and the preset variation coefficient threshold, a correction coefficient corresponding to the initial control parameter to be corrected is set, and the initial control parameter to be corrected is corrected according to the correction coefficient to obtain a second control parameter; A second control method is generated according to the second control parameter and the initial control parameter that does not need to be corrected.

[0015] Compared with the prior art, the coal-saving catalyst control method for a coal-fired power plant in the embodiment of the present application has the following beneficial effects: By determining the coal-fired operating condition category of the real-time coal-fired operating condition, setting the initial control method of the coal-saving catalyst, simulating the initial control method, and obtaining the simulated coal-saving evaluation value of the initial control method, it is determined whether the initial control method needs to be revised based on the simulated coal-saving evaluation value. By determining the control method and evaluating the application effect of the control method, the coal-saving efficiency of the coal-saving catalyst is continuously improved, thereby improving the coal-saving effect and economic benefits of coal-fired power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of a coal-saving catalyst control method for a coal-fired power plant in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0017] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0018] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0019] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0020] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0021] like Figure 1 As shown, a preferred embodiment of the present application embodiment is a method for controlling a coal-saving catalyst for a coal-fired power plant, comprising: Step S101: constructing a coal-fired operating condition category table, wherein the coal-fired operating condition category table includes a plurality of coal-fired operating condition categories, and each coal-fired operating condition category is set with a plurality of attention factors; Step S102: obtaining a concern factor of the real-time coal-fired operating condition, determining the coal-fired operating condition category of the real-time coal-fired operating condition, and setting an initial control method of the coal-saving catalyst according to the coal-fired operating condition category of the real-time coal-fired operating condition; Step S103: generating a simulated coal-saving catalyst control model based on the real-time coal-burning operating conditions and the initial control method, and generating a simulated coal-saving evaluation value of the initial control method based on the simulated coal-saving catalyst control model; Step S104: judging whether to modify the initial control method according to the simulated coal saving evaluation value, and if so, generating a second control method, and generating a control instruction for the coal saving catalyst according to the second control method.

[0022] In some embodiments of the present application, a coal-fired operating condition category table is constructed, including: Setting multiple demand evaluation indicators for coal-saving catalysts; Obtain historical coal-fired operating condition logs and extract historical operating condition parameters and corresponding historical coal-saving catalyst requirements in each coal-fired operating condition log; Performing correlation analysis on each historical operating condition parameter and multiple demand evaluation indicators of the coal-saving catalyst to obtain the correlation between each historical operating condition parameter and each demand evaluation indicator; The historical operating condition parameters with a correlation greater than a preset correlation threshold are set as characteristic operating condition parameters corresponding to the demand evaluation index; The characteristic operating condition parameters of each demand evaluation index of different coal-fired operating condition logs and the historical coal-saving catalyst demand of different coal-fired operating condition logs are used to generate the first similarity degree and the second similarity degree between different coal-fired operating condition logs; If the first similarity between different coal-fired operating condition logs is greater than a preset first similarity threshold and the second similarity is greater than a preset second similarity threshold, then the characteristic operating condition parameters of the current different coal-fired operating condition logs are set to the same category of coal-fired operating conditions; The characteristic operating condition parameters of the same category of coal-fired operating conditions and the parameter range of each characteristic operating condition parameter are set as the attention factor of the corresponding category of coal-fired operating conditions.

[0023] In this embodiment, the demand evaluation index of the coal-saving catalyst refers to the factors that need to be considered when judging the demand for the use of the coal-saving catalyst or the factors that affect the coal-saving effect of the coal-saving catalyst, such as boiler model, combustion method, type of combustion coal, coal consumption, etc. The correlation degree refers to the influence of historical operating conditions parameters on the evaluation value of the demand evaluation index.

[0024] In this embodiment, the parameter interval of each characteristic operating condition parameter refers to an interval set of characteristic operating condition parameters belonging to the same category.

[0025] In this embodiment, by classifying the coal-fired operating conditions and constructing a coal-fired operating condition category table, a foundation is laid for a subsequent initial control method for quickly determining the real-time coal-fired operating conditions.

[0026] In some embodiments of the present application, generating a first similarity degree and a second similarity degree of different coal combustion condition logs includes: The characteristic operating condition parameters of each demand evaluation index of different coal-fired operating condition logs are compared to obtain the parameter difference of the same characteristic operating condition parameters of the same demand evaluation index of different coal-fired operating condition logs, and the similarity coefficient corresponding to the same characteristic operating condition parameters is generated according to the parameter difference; Generate a first similarity degree of different coal-fired operating condition logs according to similarity coefficients of characteristic operating condition parameters of all demand evaluation indicators in different coal-fired operating condition logs; The calculation formula of the first similarity degree is:

[0027] Where D is the first similarity of different coal-fired operating logs, is the similarity coefficient of the i1th identical characteristic operating condition parameter of the first demand evaluation index of different coal-fired operating condition logs, a1 is the weight coefficient of the first demand evaluation index, is the similarity coefficient of the i2th identical characteristic operating condition parameter of the second demand evaluation index of different coal-fired operating condition logs, a2 is the weight coefficient of the second demand evaluation index, is the similarity coefficient of the ijth same characteristic operating condition parameter of the jth demand evaluation indicator of different coal-fired operating condition logs, aj is the weight coefficient of the jth demand evaluation indicator, j is the total number of demand evaluation indicators, n1 is the total number of characteristic operating condition parameters of the first demand evaluation indicator, n2 is the total number of characteristic operating condition parameters of the second demand evaluation indicator, and nj is the total number of characteristic operating condition parameters of the jth demand evaluation indicator; The historical coal-saving catalyst demands of different coal-fired operating condition logs are compared to obtain demand differences, and the second similarity of the different coal-fired operating condition logs is generated according to the demand differences.

[0028] In this embodiment, the parameter difference refers to the difference in the same characteristic operating parameters of different coal-fired operating condition logs. When the absolute value of the parameter difference is smaller, the corresponding similarity coefficient is larger, and vice versa. The demand difference refers to the difference in historical coal-saving catalysts of different coal-fired operating condition logs. When the absolute value of the demand difference is smaller, the second degree of similarity is greater.

[0029] In this embodiment, the similarity between corresponding coal-firing condition logs is determined by the difference in historical coal-saving catalyst demands of different coal-firing condition logs and the difference in the same characteristic condition parameters, so as to set multiple categories of coal-firing conditions and the focus factor of each coal-firing condition, thereby laying the foundation for the subsequent determination of the coal-firing condition category of the real-time coal-firing condition, improving the control effect of the control method of the coal-saving catalyst of the real-time coal-firing condition, and improving the coal-saving effect and economic benefits of the coal-fired power plant.

[0030] In some embodiments of the present application, an initial control method for generating a coal-saving catalyst according to a coal-fired operating condition category of a real-time coal-fired operating condition includes: Obtain characteristic operating condition parameters of the real-time coal-fired operating condition and the parameter range of each characteristic operating condition parameter, and compare them with the attention factor of each coal-fired operating condition category in the coal-fired operating condition category table, and determine the coal-fired operating condition category of the real-time coal-fired operating condition according to the comparison result; Determine a corresponding coal-saving catalyst control strategy library according to the coal-fired operating condition category of the real-time coal-fired operating condition, wherein the coal-saving catalyst control strategy library includes several historical control methods of the coal-saving catalyst of the current coal-fired operating condition category, and each historical control method is associated with a specific change feature; A historical coal-saving evaluation value of a corresponding historical control method is generated according to the change characteristics, and several historical control methods are sorted according to the historical coal-saving evaluation value, and the first-ranked historical control method is set as the initial control method of the coal-saving catalyst under the current real-time coal-fired condition, wherein the initial control method includes multiple initial control parameters.

[0031] In this embodiment, the characteristic operating condition parameters of the real-time coal-fired operating condition and the parameter intervals in which they are located are compared with the characteristic operating condition parameters and parameter intervals corresponding to the focus factors of each coal-fired operating condition category. If the number of parameter intervals in which all characteristic operating condition parameters of the real-time coal-fired operating condition are included in the parameter intervals of the characteristic operating condition parameters corresponding to the focus factors of the same coal-fired operating condition category is greater than 2 / 3 of all characteristic operating condition parameters of the real-time coal-fired operating condition, then the coal-fired operating condition category of the real-time coal-fired operating condition is the corresponding coal-fired operating condition category.

[0032] In some embodiments of the present application, generating a historical coal saving evaluation value corresponding to the historical control method according to the change characteristics includes: Preset multiple coal-saving evaluation indicators, and set characteristic data of each coal-saving evaluation indicator and a preferred data interval of each characteristic data; Obtain the control period of each historical control method, set a preset time interval according to the control period and generate multiple collection time nodes, take the control period as the time reference line, collect the historical characteristic data and historical control parameters corresponding to each historical control method according to the collection time nodes, and map them to the corresponding time reference line to obtain the characteristic data-control parameter relationship diagram; Perform change gradient analysis on the historical characteristic data in the characteristic data-control parameter relationship diagram, and mark the acquisition time nodes where the change gradient of the historical characteristic data is greater than a preset first change gradient threshold; Performing a change gradient analysis on the historical control parameters of the adjacent acquisition time node before the marked acquisition time node, if there is a change gradient of one or more historical control parameters greater than a preset second change gradient threshold, setting the change value, change trend and change rate of the historical feature data at the marked acquisition time node as the change feature of the corresponding historical feature data; Setting the historical control parameter whose change gradient is greater than a preset second change gradient threshold as the associated control parameter corresponding to the historical feature data, and mapping the change feature with the associated control parameter; Analyze the change value, change trend and change rate in the change characteristics of the historical characteristic data of the same historical control method based on the preferred data interval of all characteristic data to obtain the change coefficient of the corresponding historical characteristic data; The change coefficients of all historical characteristic data of the same historical control method and the weight coefficients of the corresponding historical characteristic data are used to generate the historical coal saving evaluation value of the corresponding historical control method.

[0033] In this embodiment, the coal-saving evaluation index is a plurality of indicators used to evaluate the coal-saving effect and the economic benefits generated by each historical control method of the coal-saving catalyst. The characteristic data refers to the data that needs to be considered when generating the evaluation value of each coal-saving evaluation index. The preferred data interval refers to the data interval when each characteristic data satisfies the corresponding coal-saving evaluation index as the maximum evaluation value.

[0034] In this embodiment, when the change trend is in a normal trend and the historical feature data after the change value is in the preferred data interval of the corresponding feature data and the change rate is greater than the preset change rate, the larger the change coefficient of the corresponding historical feature data is; when the change trend is in an abnormal trend, the historical feature data after the change value is not in the preferred data interval of the corresponding feature data or the change rate is less than the preset change rate, the smaller the change coefficient of the corresponding historical feature data is. The value range of the change coefficient is (-1,1), wherein the normal trend refers to the change trend of the historical feature data changing toward the preferred data interval of the corresponding feature data, and the abnormal trend refers to the change trend of the historical feature data changing in the opposite direction of the preferred data interval of the corresponding feature data.

[0035] In some embodiments of the present application, the calculation formula of the historical coal saving evaluation value is: ; Among them, P is the historical coal saving evaluation value, m2 is the total number of historical characteristic data, mf is the total number of change characteristics of the f-th historical characteristic data, Ys,f is the change coefficient of the s-th change characteristic of the f-th historical characteristic data, and Qf is the weight coefficient of the f-th historical characteristic data.

[0036] In this embodiment, the weight coefficient of the historical characteristic data is set according to the importance of the coal saving evaluation index for evaluating the historical coal saving evaluation value and the importance of the historical characteristic data to the corresponding coal saving evaluation index. The change characteristic of each historical characteristic data may be 0 or multiple.

[0037] In some embodiments of the present application, a simulated coal-saving catalyst control model is generated based on real-time coal-burning conditions and an initial control method, including: Obtaining device information and connection information of relevant equipment, and constructing a simulation model of the real-time coal-fired working condition based on the working condition parameters of the real-time coal-fired working condition and combining a preset modeling method; Acquire the initial control parameters to be set according to the initial control method, and establish a predictive dynamic relationship between the initial control parameters to be set and the real-time characteristic data; According to the fluctuation characteristics of historical operating parameters in the coal-fired operating condition category corresponding to the real-time coal-fired operating condition in different historical periods, the operating parameters of the real-time coal-fired operating condition in different future periods are predicted, and the simulation model of the real-time coal-fired operating condition is optimized; A position connection is established based on the predicted dynamic relationship and the optimized simulation model of the real-time coal-fired operating condition, and a simulation coal-saving catalyst control model of the real-time coal-fired operating condition is obtained.

[0038] In this embodiment, relevant equipment refers to equipment that is directly related to the coal-saving effect of the coal-saving catalyst in the coal-fired power plant. The fluctuation characteristic refers to the fluctuation degree, fluctuation value and fluctuation rate of the historical operating parameters in different historical time periods. The predicted dynamic relationship refers to the influence of the control parameters to be set on the real-time characteristic data, and the predicted degree of change of the real-time characteristic data after the control parameters to be set.

[0039] In this embodiment, by predicting the operating parameters of the real-time coal-fired operating conditions in the future time period, the consistency between the simulation model and the actual coal-fired operating conditions is improved, and a simulated coal-saving catalyst control model of the real-time coal-fired operating conditions is built according to the predicted dynamic relationship and the optimized simulation model of the real-time coal-fired operating conditions. The initial control method is accurately simulated, which is conducive to discovering and improving the shortcomings of the initial control method, improving the coal-saving efficiency of the coal-saving catalyst, and thus improving the coal-saving effect and economic benefits of the coal-fired power plant.

[0040] In some embodiments of the present application, judging whether to modify the initial control method according to the simulated coal saving evaluation value includes: Based on the simulation coal-saving catalyst control model, the simulation change characteristics of each real-time characteristic data in the simulation period are obtained; Generate a simulated coal-saving evaluation value of the initial control method according to the simulated change characteristics of all real-time characteristic data; Subtract the simulated coal saving evaluation value from the historical coal saving evaluation value of the initial control method to obtain the coal saving evaluation value difference; If the difference in the coal-saving evaluation value is less than the preset difference in the coal-saving evaluation value, the initial control method is not adjusted, and a control instruction for the coal-saving catalyst of the real-time coal-burning condition is generated according to the initial control method; If the difference in the coal-saving evaluation value is greater than the preset difference in the coal-saving evaluation value, the initial control parameters that need to be corrected in the initial control method are screened out, and a second control method is generated.

[0041] In some embodiments of the present application, generating a second control method includes: If the difference in the coal-saving evaluation value is greater than the preset difference in the coal-saving evaluation value, the simulation change coefficient corresponding to the simulation change feature of each real-time characteristic data in the simulation period is analyzed, and the simulation change features whose simulation change coefficient is less than the preset change coefficient threshold are screened out; Based on the principle of comparing time nodes of the same proportion, the change characteristics corresponding to the selected simulation change characteristics and the associated control parameters of the change characteristic mapping are determined, and the current associated control parameters are set as the initial control parameters that need to be corrected in the initial control method; According to the difference between the simulation variation coefficient and the preset variation coefficient threshold, a correction coefficient corresponding to the initial control parameter to be corrected is set, and the initial control parameter to be corrected is corrected according to the correction coefficient to obtain a second control parameter; A second control method is generated according to the second control parameter and the initial control parameter that does not need to be corrected.

[0042] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A method for controlling a coal-saving catalyst for a coal-fired power plant, characterized in that: include: Constructing a coal-fired operating condition category table, wherein the coal-fired operating condition category table includes a plurality of coal-fired operating condition categories, and each coal-fired operating condition category is set with a plurality of attention factors; Obtaining a focus factor of a real-time coal-fired operating condition, determining a coal-fired operating condition category of the real-time coal-fired operating condition, and setting an initial control method of a coal-saving catalyst according to the coal-fired operating condition category of the real-time coal-fired operating condition; Generate a simulated coal-saving catalyst control model based on real-time coal-burning conditions and an initial control method, and generate a simulated coal-saving evaluation value of the initial control method based on the simulated coal-saving catalyst control model; It is determined whether to modify the initial control method according to the simulated coal saving evaluation value. If so, a second control method is generated, and a control instruction of the coal saving catalyst is generated according to the second control method.

2. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 1, characterized in that: Construct a coal-fired operating condition category table, including: Setting multiple demand evaluation indicators for coal-saving catalysts; Obtain historical coal-fired operating condition logs and extract historical operating condition parameters and corresponding historical coal-saving catalyst requirements in each coal-fired operating condition log; Performing correlation analysis on each historical operating condition parameter and multiple demand evaluation indicators of the coal-saving catalyst to obtain the correlation between each historical operating condition parameter and each demand evaluation indicator; The historical operating condition parameters with a correlation greater than a preset correlation threshold are set as characteristic operating condition parameters corresponding to the demand evaluation index; The characteristic operating condition parameters of each demand evaluation index of different coal-fired operating condition logs and the historical coal-saving catalyst demand of different coal-fired operating condition logs are used to generate the first similarity degree and the second similarity degree between different coal-fired operating condition logs; If the first similarity between different coal-fired operating condition logs is greater than a preset first similarity threshold and the second similarity is greater than a preset second similarity threshold, then the characteristic operating condition parameters of the current different coal-fired operating condition logs are set to the same category of coal-fired operating conditions; The characteristic operating condition parameters of the same category of coal-fired operating conditions and the parameter range of each characteristic operating condition parameter are set as the attention factor of the corresponding category of coal-fired operating conditions.

3. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 2, characterized in that: Generate the first similarity and the second similarity of different coal-fired operating condition logs, including: The characteristic operating condition parameters of each demand evaluation index of different coal-fired operating condition logs are compared to obtain the parameter difference of the same characteristic operating condition parameters of the same demand evaluation index of different coal-fired operating condition logs, and the similarity coefficient corresponding to the same characteristic operating condition parameters is generated according to the parameter difference; Generate a first similarity degree of different coal-fired operating condition logs according to similarity coefficients of characteristic operating condition parameters of all demand evaluation indicators in different coal-fired operating condition logs; The calculation formula of the first similarity degree is: Where D is the first similarity of different coal-fired operating logs, is the similarity coefficient of the i1th identical characteristic operating condition parameter of the first demand evaluation index of different coal-fired operating condition logs, a1 is the weight coefficient of the first demand evaluation index, is the similarity coefficient of the i2th identical characteristic operating condition parameter of the second demand evaluation index of different coal-fired operating condition logs, a2 is the weight coefficient of the second demand evaluation index, is the similarity coefficient of the ijth same characteristic operating condition parameter of the jth demand evaluation indicator of different coal-fired operating condition logs, aj is the weight coefficient of the jth demand evaluation indicator, j is the total number of demand evaluation indicators, n1 is the total number of characteristic operating condition parameters of the first demand evaluation indicator, n2 is the total number of characteristic operating condition parameters of the second demand evaluation indicator, and nj is the total number of characteristic operating condition parameters of the jth demand evaluation indicator; The historical coal-saving catalyst demands of different coal-fired operating condition logs are compared to obtain demand differences, and the second similarity of the different coal-fired operating condition logs is generated according to the demand differences.

4. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 3, characterized in that: An initial control method for a coal-saving catalyst is generated according to the coal-fired operating condition category of the real-time coal-fired operating condition, including: Obtain characteristic operating condition parameters of the real-time coal-fired operating condition and the parameter range of each characteristic operating condition parameter, and compare them with the attention factor of each coal-fired operating condition category in the coal-fired operating condition category table, and determine the coal-fired operating condition category of the real-time coal-fired operating condition according to the comparison result; Determine a corresponding coal-saving catalyst control strategy library according to the coal-fired operating condition category of the real-time coal-fired operating condition, wherein the coal-saving catalyst control strategy library includes several historical control methods of the coal-saving catalyst of the current coal-fired operating condition category, and each historical control method is associated with a specific change feature; A historical coal-saving evaluation value of a corresponding historical control method is generated according to the change characteristics, and several historical control methods are sorted according to the historical coal-saving evaluation value, and the first-ranked historical control method is set as the initial control method of the coal-saving catalyst under the current real-time coal-fired condition, wherein the initial control method includes multiple initial control parameters.

5. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 4, characterized in that: Generate historical coal saving evaluation values ​​corresponding to historical control methods according to the change characteristics, including: Preset multiple coal-saving evaluation indicators, and set characteristic data of each coal-saving evaluation indicator and a preferred data interval of each characteristic data; Obtain the control period of each historical control method, set a preset time interval according to the control period and generate multiple collection time nodes, take the control period as the time reference line, collect the historical characteristic data and historical control parameters corresponding to each historical control method according to the collection time nodes, and map them to the corresponding time reference line to obtain the characteristic data-control parameter relationship diagram; Perform change gradient analysis on the historical characteristic data in the characteristic data-control parameter relationship diagram, and mark the acquisition time nodes where the change gradient of the historical characteristic data is greater than a preset first change gradient threshold; Performing a change gradient analysis on the historical control parameters of the adjacent acquisition time node before the marked acquisition time node, if there is a change gradient of one or more historical control parameters greater than a preset second change gradient threshold, setting the change value, change trend and change rate of the historical feature data at the marked acquisition time node as the change feature of the corresponding historical feature data; Setting the historical control parameter whose change gradient is greater than a preset second change gradient threshold as the associated control parameter corresponding to the historical feature data, and mapping the change feature with the associated control parameter; Analyze the change value, change trend and change rate in the change characteristics of the historical characteristic data of the same historical control method based on the preferred data interval of all characteristic data to obtain the change coefficient of the corresponding historical characteristic data; The change coefficients of all historical characteristic data of the same historical control method and the weight coefficients of the corresponding historical characteristic data are used to generate the historical coal saving evaluation value of the corresponding historical control method.

6. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 5, characterized in that: The calculation formula of the historical coal saving evaluation value is: ； Among them, P is the historical coal saving evaluation value, m2 is the total number of historical characteristic data, mf is the total number of change characteristics of the f-th historical characteristic data, Ys,f is the change coefficient of the s-th change characteristic of the f-th historical characteristic data, and Qf is the weight coefficient of the f-th historical characteristic data.

7. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 6, characterized in that: Generate a simulation coal-saving catalyst control model based on real-time coal-fired conditions and initial control methods, including: Obtaining device information and connection information of relevant equipment, and constructing a simulation model of the real-time coal-fired working condition based on the working condition parameters of the real-time coal-fired working condition and combining a preset modeling method; Acquire the initial control parameters to be set according to the initial control method, and establish a predictive dynamic relationship between the initial control parameters to be set and the real-time characteristic data; According to the fluctuation characteristics of historical operating parameters in the coal-fired operating condition category corresponding to the real-time coal-fired operating condition in different historical periods, the operating parameters of the real-time coal-fired operating condition in different future periods are predicted, and the simulation model of the real-time coal-fired operating condition is optimized; A position connection is established based on the predicted dynamic relationship and the optimized simulation model of the real-time coal-fired operating condition, and a simulation coal-saving catalyst control model of the real-time coal-fired operating condition is obtained.

8. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 7, characterized in that: Determine whether to modify the initial control method based on the simulated coal saving evaluation value, including: Based on the simulation coal-saving catalyst control model, the simulation change characteristics of each real-time characteristic data in the simulation period are obtained; Generate a simulated coal-saving evaluation value of the initial control method according to the simulated change characteristics of all real-time characteristic data; Subtract the simulated coal saving evaluation value from the historical coal saving evaluation value of the initial control method to obtain the coal saving evaluation value difference; If the difference in the coal-saving evaluation value is less than the preset difference in the coal-saving evaluation value, the initial control method is not adjusted, and a control instruction for the coal-saving catalyst of the real-time coal-burning condition is generated according to the initial control method; If the difference in the coal-saving evaluation value is greater than the preset difference in the coal-saving evaluation value, the initial control parameters that need to be corrected in the initial control method are screened out, and a second control method is generated.

9. The method for controlling a coal-saving catalyst for a coal-fired power plant according to claim 8, characterized in that: Generating a second control method includes: If the difference in the coal-saving evaluation value is greater than the preset difference in the coal-saving evaluation value, the simulation change coefficient corresponding to the simulation change feature of each real-time characteristic data in the simulation period is analyzed, and the simulation change features whose simulation change coefficient is less than the preset change coefficient threshold are screened out; Based on the principle of comparing time nodes of the same proportion, the change characteristics corresponding to the selected simulation change characteristics and the associated control parameters of the change characteristic mapping are determined, and the current associated control parameters are set as the initial control parameters that need to be corrected in the initial control method; According to the difference between the simulation variation coefficient and the preset variation coefficient threshold, a correction coefficient corresponding to the initial control parameter to be corrected is set, and the initial control parameter to be corrected is corrected according to the correction coefficient to obtain a second control parameter; A second control method is generated according to the second control parameter and the initial control parameter that does not need to be corrected.

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