Coal saving catalyst control method for coal-fired power plants

Abstract

The application discloses a coal-saving catalyst control method for a coal-fired power plant, which comprises the following steps: constructing a coal-fired working condition category table, wherein the coal-fired working condition category table comprises a plurality of coal-fired working condition categories, and each coal-fired working condition category is provided with a plurality of concerned factors; obtaining the concerned factors of a real-time coal-fired working condition, and determining the coal-fired working condition category of the real-time coal-fired working condition; setting an initial control method of a coal-saving catalyst 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-fired 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; judging whether the initial control method needs to be modified according to the simulation coal-saving evaluation value, and if yes, generating a second control method, generating a control instruction of the coal-saving catalyst according to the second control method, and continuously improving the coal-saving efficiency of the coal-saving catalyst, so as to improve the coal-saving effect and economic benefits of the coal-fired power plant.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coal-saving catalysts, in particular to a coal-saving catalyst control method for coal-fired power plants. BACKGROUND

[0002] It is well known that the coal in practical application cannot be completely combusted ideally, and part of the heat is thus wasted. If the raw coal is used to make the coal more completely combusted, energy saving and consumption reduction can be effectively achieved. Using a coal-saving catalyst to promote the further combustion of raw coal is a direct, simple, fast and effective coal-saving method.

[0003] In the prior art, the control parameters of the coal-saving catalyst are set according to the experience of workers, which cannot guarantee that the energy-saving catalyst has the maximum coal-saving efficiency, and reduces the coal-saving amount and economic benefits of the coal-fired power plant. SUMMARY

[0004] To solve the above technical problems, the present application provides a coal-saving catalyst control method for a coal-fired power plant. The coal-saving efficiency of the coal-saving catalyst is continuously improved by determining the coal-working condition category of the real-time coal-working condition, setting the initial control method of the coal-saving catalyst, simulating the initial control method, obtaining the simulation coal-saving evaluation value of the initial control method, judging whether the initial control method needs to be corrected according to the simulation coal-saving evaluation value, determining the control method, and evaluating the application effect of the control method, thereby improving the coal-saving effect and economic benefits of the coal-fired power plant.

[0005] In some embodiments of the present application, a coal-saving catalyst control method for a coal-fired power plant is provided, which comprises:

[0006] A coal-working condition category table is constructed, which comprises a plurality of coal-working condition categories, and each coal-working condition category is provided with a plurality of attention factors;

[0007] The attention factors of the real-time coal-working condition are obtained, and the coal-working condition category of the real-time coal-working condition is determined. The initial control method of the coal-saving catalyst is set according to the coal-working condition category of the real-time coal-working condition;

[0008] A simulation coal-saving catalyst control model is generated based on the real-time coal-working condition and the initial control method, and a simulation coal-saving evaluation value of the initial control method is generated based on the simulation coal-saving catalyst control model;

[0009] It is judged whether the initial control method needs to be corrected according to the simulation coal-saving evaluation value. If yes, a second control method is generated, and a control instruction of the coal-saving catalyst is generated according to the second control method.

[0010] In some embodiments of the present application, the coal-working condition category table is constructed, which comprises:

[0011] set multiple demand evaluation indexes of the coal-saving catalyst;

[0012] obtain historical coal combustion condition logs and extract historical condition parameters in each of the historical coal combustion condition logs and corresponding historical coal-saving catalyst demands;

[0013] perform correlation degree analysis on each of the historical condition parameters and the multiple demand evaluation indexes of the coal-saving catalyst to obtain a correlation degree between each of the historical condition parameters and each of the demand evaluation indexes;

[0014] set a historical condition parameter with a correlation degree greater than a preset correlation degree threshold as a characteristic condition parameter of a corresponding demand evaluation index;

[0015] generate a first similarity degree and a second similarity degree between different coal combustion condition logs from the characteristic condition parameters of each of the demand evaluation indexes of the different coal combustion condition logs and the historical coal-saving catalyst demands of the different coal combustion condition logs;

[0016] if the first similarity degree between the different coal combustion condition logs is greater than a preset first similarity degree threshold and the second similarity degree is greater than a preset second similarity degree threshold, set the characteristic condition parameters of the current different coal combustion condition logs as a same type of coal combustion condition;

[0017] set a concern factor for a corresponding type of coal combustion condition according to the characteristic condition parameters of the same type of coal combustion condition and a parameter interval of each of the characteristic condition parameters.

[0018] In some embodiments of the present application, the first similarity degree and the second similarity degree of the different coal combustion condition logs are generated, including:

[0019] compare the characteristic condition parameters of each of the demand evaluation indexes of the different coal combustion condition logs to obtain a parameter difference amount of the same characteristic condition parameters of a same demand evaluation index of the different coal combustion condition logs, and generate a similarity coefficient for the corresponding same characteristic condition parameters according to the parameter difference amount;

[0020] generate the first similarity degree of the different coal combustion condition logs according to the similarity coefficients of the characteristic condition parameters of all of the demand evaluation indexes in the different coal combustion condition logs;

[0021] a calculation formula of the first similarity degree is:

[0022]

[0023] wherein D is the first similarity degree of the different coal combustion condition logs, is a similarity coefficient of an ith same characteristic condition parameter of a first demand evaluation index of the different coal combustion condition logs, a1 is a weight coefficient of the first demand evaluation index, a2 is a weight coefficient of the second demand evaluation index, and i2 is a similar coefficient of the i2th same characteristic working condition parameter of the second demand evaluation index of the different coal working condition log, aj is a weight coefficient of the jth demand evaluation index, j is a total number of the demand evaluation indexes, n1 is a total number of the characteristic working condition parameters of the first demand evaluation index, n2 is a total number of the characteristic working condition parameters of the second demand evaluation index, and nj is a total number of the characteristic working condition parameters of the jth demand evaluation index;

[0024] According to the historical coal-saving catalyst demand of the different coal working condition log, a demand difference is obtained, and a second similarity degree of the different coal working condition log is generated according to the demand difference.

[0025] In some embodiments of the present application, an initial control method of the coal-saving catalyst is generated according to the coal working condition category of the real-time coal working condition, and the initial control method includes:

[0026] The characteristic working condition parameters of the real-time coal working condition and the parameter interval of each characteristic working condition parameter are obtained, and are compared with the attention factors of each coal working condition category in the coal working condition category table, so as to determine the coal working condition category of the real-time coal working condition according to the comparison result;

[0027] A corresponding coal-saving catalyst control strategy library is determined according to the coal working condition category of the real-time coal working condition, the coal-saving catalyst control strategy library includes a plurality of historical control methods of the coal-saving catalyst of the current coal working condition category, and each historical control method is associated with a specific change characteristic;

[0028] A historical coal-saving evaluation value of the corresponding historical control method is generated according to the change characteristic, and the plurality of historical control methods are sorted according to the historical coal-saving evaluation value, and the first historical control method in the sorting is set as the initial control method of the coal-saving catalyst of the current real-time coal working condition, wherein the initial control method includes a plurality of initial control parameters.

[0029] In some embodiments of the present application, the historical coal-saving evaluation value of the corresponding historical control method is generated according to the change characteristic, and the historical coal-saving evaluation value includes:

[0030] A plurality of coal-saving evaluation indexes are set in advance, and the characteristic data of each coal-saving evaluation index and the preferred data interval of each characteristic data are set;

[0031] acquire a control period of each historical control method, set a preset time interval according to the control period and generate a plurality of acquisition time nodes, take the control period as a time reference line, acquire historical characteristic data and historical control parameters corresponding to each historical control method according to the acquisition time nodes, and map the historical characteristic data and the historical control parameters to the corresponding time reference line to obtain a characteristic data-control parameter relationship diagram;

[0032] perform change gradient analysis on the historical characteristic data in the characteristic data-control parameter relationship diagram, and mark the acquisition time nodes at which the change gradient of the historical characteristic data is greater than a preset first change gradient threshold value;

[0033] perform change gradient analysis on the historical control parameters of the adjacent acquisition time nodes before the marked acquisition time nodes, and if the change gradient of one or more historical control parameters is greater than a preset second change gradient threshold value, set the change value, change trend and change rate of the historical characteristic data at the marked acquisition time nodes as the change characteristics of the corresponding historical characteristic data;

[0034] set the historical control parameters with the change gradient greater than the preset second change gradient threshold value as the associated control parameters of the corresponding historical characteristic data, and map the change characteristics and the associated control parameters;

[0035] 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 optimal data interval of all the characteristic data to obtain the change coefficient of the corresponding historical characteristic data;

[0036] generate a historical coal-saving evaluation value of the corresponding historical control method based on the change coefficient of all the historical characteristic data of the same historical control method and the weight coefficient of the corresponding historical characteristic data.

[0037] In some embodiments of the present application, the calculation formula of the historical coal-saving evaluation value is:

[0038] ;

[0039] wherein 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 fth 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.

[0040] In some embodiments of the present application, a simulation coal-saving catalyst control model is generated based on a real-time coal combustion condition and an initial control method, including:

[0041] acquire device information and connection information of related equipment, construct a simulation model of the real-time coal combustion condition according to the working condition parameters of the real-time coal combustion condition and in combination with a preset modeling method;

[0042] obtaining an initial control parameter to be set according to the initial control method, and establishing a predicted dynamic relationship between the initial control parameter to be set and the real-time characteristic data;

[0043] predicting the working condition parameters of the real-time coal-fired working condition in different future time periods according to the fluctuation characteristics of the historical working condition parameters in different historical time periods in the coal-fired working condition category corresponding to the real-time coal-fired working condition, and optimizing the simulation model of the real-time coal-fired working condition;

[0044] establishing a position relationship according to the predicted dynamic relationship and the optimized simulation model of the real-time coal-fired working condition, and obtaining a simulation coal-saving catalyst control model of the real-time coal-fired working condition.

[0045] In some embodiments of the present application, whether to correct the initial control method is determined according to the simulation coal-saving evaluation value, including:

[0046] obtaining a simulation change characteristic of each real-time characteristic data in the simulation time period based on the simulation coal-saving catalyst control model;

[0047] generating a simulation coal-saving evaluation value of the initial control method according to the simulation change characteristics of all real-time characteristic data;

[0048] obtaining a coal-saving evaluation value difference by subtracting the simulation coal-saving evaluation value from a historical coal-saving evaluation value of the initial control method;

[0049] if the coal-saving evaluation value difference is less than a preset coal-saving evaluation value difference, the initial control method is not adjusted, and a control instruction of the coal-saving catalyst of the real-time coal-fired working condition is generated according to the initial control method;

[0050] if the coal-saving evaluation value difference is greater than the preset coal-saving evaluation value difference, an initial control parameter that needs to be corrected in the initial control method is screened out, and a second control method is generated.

[0051] In some embodiments of the present application, the second control method is generated, including:

[0052] if the coal-saving evaluation value difference is greater than the preset coal-saving evaluation value difference, a simulation change coefficient corresponding to the simulation change characteristic of each real-time characteristic data in the simulation time period is analyzed, and the simulation change characteristic with a simulation change coefficient less than a preset change coefficient threshold is screened out;

[0053] determining a change characteristic corresponding to the screened simulation change characteristic and an associated control parameter mapped by the change characteristic based on a same-ratio time node comparison principle, and setting a current associated control parameter as the initial control parameter that needs to be corrected in the initial control method;

[0054] According to the simulation change coefficient and the change coefficient difference of the preset change coefficient threshold, a correction coefficient corresponding to the initial control parameter needing correction is set, and the initial control parameter needing correction is corrected according to the correction coefficient, so as to obtain the second control parameter.

[0055] According to the second control parameter and the initial control parameter not needing correction, a second control method is generated.

[0056] Compared with the prior art, the coal-saving catalyst control method for the coal-fired power plant has the beneficial effects that:

[0057] By determining the coal-fired working condition category of the real-time coal-fired working condition, setting the initial control method of the coal-saving catalyst, simulating the initial control method, obtaining the simulation coal-saving evaluation value of the initial control method, judging whether the initial control method needs to be corrected according to the simulation coal-saving evaluation value, 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, and the coal-saving effect and economic benefit of the coal-fired power plant are improved. BRIEF DESCRIPTION OF DRAWINGS

[0058] Figure 1 is a flowchart of a coal-saving catalyst control method for a coal-fired power plant in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0059] The specific embodiments of the present application will be further described in detail below in combination with the drawings and examples. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0060] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the 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 particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0061] The terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, unless otherwise stated, the meaning of "a plurality of" is two or more.

[0062] In the description of the present application, it should be noted that unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connecting" should be understood in a broad sense, for example, can be fixed connection, can also be detachable connection, or integral connection; can be mechanical connection, can also be electrical connection; can be direct connection, can also be indirect connection through an intermediate medium, can be internal communication of two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0063] As shown in Figure 1 The coal-saving catalyst control method for a coal-fired power plant according to the preferred embodiment of the present application comprises the following steps:

[0064] Step S101: Construct a coal-fired working condition category table, which comprises a plurality of coal-fired working condition categories, and each coal-fired working condition category is provided with a plurality of attention factors;

[0065] Step S102: Obtain the attention factors of the real-time coal-fired working condition, determine the coal-fired working condition category of the real-time coal-fired working condition, and set the initial control method of the coal-saving catalyst according to the coal-fired working condition category of the real-time coal-fired working condition;

[0066] Step S103: Generate a simulation coal-saving catalyst control model based on the real-time coal-fired working condition and the initial control method, and generate a simulation coal-saving evaluation value of the initial control method based on the simulation coal-saving catalyst control model;

[0067] Step S104: Determine whether to modify the initial control method according to the simulation coal-saving evaluation value, if yes, generate a second control method, and generate a control instruction of the coal-saving catalyst according to the second control method.

[0068] In some embodiments of the present application, the construction of the coal-fired working condition category table comprises the following steps:

[0069] Set a plurality of demand evaluation indexes of the coal-saving catalyst;

[0070] Obtain a historical coal-fired working condition log and extract historical working condition parameters and corresponding historical coal-saving catalyst demands in each coal-fired working condition log;

[0071] Analyze the correlation degree between each historical working condition parameter and the plurality of demand evaluation indexes of the coal-saving catalyst to obtain the correlation degree between each historical working condition parameter and each demand evaluation index;

[0072] Set the historical working condition parameters with a correlation degree greater than a preset correlation degree threshold as the characteristic working condition parameters of the corresponding demand evaluation indexes;

[0073] The characteristic working condition parameters of each demand evaluation index of different coal-fired working condition logs and the historical coal-saving catalyst demand of different coal-fired working condition logs are used to generate a first similarity degree and a second similarity degree between different coal-fired working condition logs;

[0074] If the first similarity degree between different coal-fired working condition logs is greater than a preset first similarity degree threshold and the second similarity degree is greater than a preset second similarity degree threshold, the characteristic working condition parameters of the current different coal-fired working condition log are set as the same type of coal-fired working condition.

[0075] According to the characteristic working condition parameters of the same type of coal-fired working condition and the parameter interval of each characteristic working condition parameter, a concern factor of the corresponding type of coal-fired working condition is set.

[0076] In the embodiment, the demand evaluation index of the coal-saving catalyst refers to a factor that needs to be considered when judging the use demand of the coal-saving catalyst or a factor that affects the coal-saving effect of the coal-saving catalyst, such as boiler model, combustion mode, type of coal burned, coal consumption, etc., and the correlation degree refers to the influence of the historical working condition parameter on the evaluation value of the demand evaluation index.

[0077] In the embodiment, the parameter interval of each characteristic working condition parameter refers to an interval set of the characteristic working condition parameters belonging to the same type.

[0078] In the embodiment, by classifying the coal-fired working conditions and constructing a coal-fired working condition type table, a foundation is laid for subsequent rapid determination of the initial control method of the real-time coal-fired working condition.

[0079] In some embodiments of the present application, the first similarity degree and the second similarity degree of different coal-fired working condition logs are generated, including:

[0080] The characteristic working condition parameters of each demand evaluation index of different coal-fired working condition logs are compared to obtain the parameter difference of the same characteristic working condition parameter of the same demand evaluation index of different coal-fired working condition logs, and the similarity coefficient of the corresponding same characteristic working condition parameter is generated according to the parameter difference;

[0081] The first similarity degree of different coal-fired working condition logs is generated according to the similarity coefficients of the characteristic working condition parameters of all demand evaluation indexes in different coal-fired working condition logs;

[0082] The calculation formula of the first similarity degree is:

[0083]

[0084] Wherein, D is the first similarity degree of different coal-fired working condition logs, is the similarity coefficient of the i1th same characteristic working condition parameter of the 1st demand evaluation index of different coal-fired working condition logs, a1 is the weight coefficient of the 1st demand evaluation index, a2 is a weight coefficient of the second demand evaluation index, and the similar coefficient of the i2th same characteristic working condition parameter of the second demand evaluation index of the different coal combustion working condition log, aj is a weight coefficient of the jth demand evaluation index, j is the total number of demand evaluation indexes, n1 is the total number of characteristic working condition parameters of the first demand evaluation index, n2 is the total number of characteristic working condition parameters of the second demand evaluation index, and nj is the total number of characteristic working condition parameters of the jth demand evaluation index;

[0085] According to the comparison of the historical coal-saving catalyst demand of the different coal combustion working condition logs, a demand difference value is obtained, and a second similarity degree of the different coal combustion working condition logs is generated according to the demand difference value.

[0086] In the embodiment, the parameter difference value is the difference value of the same characteristic working condition parameter of the different coal combustion working condition logs, and the smaller the absolute value of the parameter difference value, the greater the corresponding similarity coefficient, and vice versa. The demand difference value is the difference value of the historical coal-saving catalyst of the different coal combustion working condition logs, and the smaller the absolute value of the demand difference value, the greater the second similarity degree.

[0087] In the embodiment, the similarity degree between the corresponding coal combustion working condition logs is determined by the difference of the historical coal-saving catalyst demand and the difference of the same characteristic working condition parameter of the different coal combustion working condition logs, so as to set multiple categories of coal combustion working conditions and the attention factor of each coal combustion working condition, lay a foundation for subsequent determination of the coal combustion working condition category of the real-time coal combustion working condition, improve the control effect of the coal-saving catalyst control method of the real-time coal combustion working condition, and improve the coal-saving effect and economic benefit of the coal-fired power plant.

[0088] In some embodiments of the present application, an initial control method of the coal-saving catalyst is generated according to the coal combustion working condition category of the real-time coal combustion working condition, which comprises:

[0089] The characteristic working condition parameters of the real-time coal combustion working condition and the parameter interval of each characteristic working condition parameter are obtained, and compared with the attention factor of each coal combustion working condition category in the coal combustion working condition category table, and the coal combustion working condition category of the real-time coal combustion working condition is determined according to the comparison result;

[0090] According to the coal combustion working condition category of the real-time coal combustion working condition, a corresponding coal-saving catalyst control strategy library is determined, which comprises a plurality of historical control methods of the coal-saving catalyst of the current coal combustion working condition category, and each historical control method is associated with a specific change characteristic;

[0091] The historical coal-saving evaluation value of the corresponding historical control method is generated according to the change feature, and the historical control methods are sorted according to the historical coal-saving evaluation value, and the historical control method ranked first is set as the initial control method of the coal-saving catalyst under the current real-time coal combustion condition, wherein the initial control method comprises a plurality of initial control parameters.

[0092] In the embodiment, the characteristic working condition parameters of the real-time coal combustion condition and the parameter intervals thereof are compared with the characteristic working condition parameters corresponding to the attention factors of each coal combustion condition category and the parameter intervals thereof, if the number of the parameter intervals in which all the characteristic working condition parameters of the real-time coal combustion condition are located in the parameter intervals of the characteristic working condition parameters corresponding to the attention factors of the same coal combustion condition category is greater than 2 / 3 of all the characteristic working condition parameters of the real-time coal combustion condition, the coal combustion condition category of the real-time coal combustion condition is the corresponding coal combustion condition category.

[0093] In some embodiments of the present application, the historical coal-saving evaluation value of the corresponding historical control method is generated according to the change feature, comprising:

[0094] A plurality of coal-saving evaluation indexes are preset, and the feature data of each coal-saving evaluation index and the preferred data interval of each feature data are set;

[0095] The control period of each historical control method is obtained, a preset time interval is set according to the control period, and a plurality of collection time nodes are generated, the control period is taken as a time reference line, the historical feature data and the historical control parameters corresponding to each historical control method are collected according to the collection time nodes, and are mapped onto the corresponding time reference line to obtain a feature data-control parameter relationship diagram;

[0096] The change gradient analysis is performed on the historical feature data in the feature data-control parameter relationship diagram, and the collection time nodes at which the change gradient of the historical feature data is greater than a preset first change gradient threshold are marked;

[0097] The change gradient analysis is performed on the historical control parameters of the adjacent collection time nodes before the marked collection time nodes, if the change gradient of one or more historical control parameters is greater than a preset second change gradient threshold, the change amount, the change trend and the change rate of the historical feature data at the marked collection time nodes are set as the change feature of the corresponding historical feature data;

[0098] The historical control parameters whose change gradient is greater than the preset second change gradient threshold are set as the associated control parameters of the corresponding historical feature data, and the change feature and the associated control parameters are mapped;

[0099] The change value, change trend and change rate in the change characteristic of the historical characteristic data of the same historical control method are analyzed based on the preferred data interval of the total characteristic data, and a change coefficient corresponding to the historical characteristic data is obtained.

[0100] The change coefficient of the total historical characteristic data of the same historical control method and the weight coefficient of the corresponding historical characteristic data are generated to obtain a historical coal-saving evaluation value of the corresponding historical control method.

[0101] In the embodiment, the coal-saving evaluation index is a plurality of indexes for evaluating the coal-saving effect and economic benefit of each historical control method of the coal-saving catalyst, the characteristic data refers to data that needs to be considered when generating the evaluation value of each coal-saving evaluation index, and the preferred data interval refers to the data interval when each characteristic data satisfies the maximum evaluation value of the corresponding coal-saving evaluation index.

[0102] In the embodiment, when the change trend is in a normal trend and the historical characteristic data after the change value is in the preferred data interval of the corresponding characteristic data and the change rate is greater than a preset change rate, the change coefficient of the corresponding historical characteristic data is greater, when the change trend is in an abnormal trend, the historical characteristic data after the change value is not in the preferred data interval of the corresponding characteristic data, or the change rate is less than the preset change rate, the change coefficient of the corresponding historical characteristic data is smaller, and the value range of the change coefficient is (-1, 1), wherein the normal trend refers to the change trend of the historical characteristic data changing towards the preferred data interval of the corresponding characteristic data, and the abnormal trend refers to the change trend of the historical characteristic data changing in the opposite direction of the preferred data interval of the corresponding characteristic data.

[0103] In some embodiments of the present application, the calculation formula of the historical coal-saving evaluation value is:

[0104] ;

[0105] wherein P is the historical coal-saving evaluation value, m2 is the total number of the historical characteristic data, mf is the total number of the change characteristics of the fth historical characteristic data, Ys,f is the change coefficient of the sth change characteristic of the fth historical characteristic data, and Qf is the weight coefficient of the fth historical characteristic data.

[0106] In the 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 for the corresponding coal-saving evaluation index, and the change characteristic of each historical characteristic data can be 0 or multiple.

[0107] In some embodiments of the present application, a simulation coal-saving catalyst control model is generated based on the real-time coal combustion working condition and the initial control method, including:

[0108] Obtain device information and connection information of related devices, and construct a simulation model of the real-time coal-fired working condition according to working condition parameters of the real-time coal-fired working condition and a preset modeling method;

[0109] Obtain initial control parameters to be set according to the initial control method, and establish a predicted dynamic relationship between the initial control parameters to be set and real-time characteristic data;

[0110] According to the fluctuation characteristics of the historical working condition parameters in different historical time periods in the coal-fired working condition category corresponding to the real-time coal-fired working condition, the working condition parameters of the real-time coal-fired working condition in different future time periods are predicted, and the simulation model of the real-time coal-fired working condition is optimized;

[0111] According to the predicted dynamic relationship and the optimized simulation model of the real-time coal-fired working condition, a position relationship is established to obtain a simulation coal-saving catalyst control model of the real-time coal-fired working condition.

[0112] In this embodiment, the related devices refer to devices directly related to the coal-saving effect of the coal-saving catalyst in the coal-fired power plant, the fluctuation characteristics refer to the fluctuation degree, fluctuation magnitude and fluctuation rate of the historical working condition parameters in different historical time periods, the predicted dynamic relationship refers to the influence degree of the control parameters to be set on the real-time characteristic data, and the predicted change degree of the real-time characteristic data after the control parameters to be set.

[0113] In this embodiment, by predicting the working condition parameters of the future time period of the real-time coal-fired working condition, the consistency degree of the simulation model and the actual coal-fired working condition is improved, the simulation coal-saving catalyst control model of the real-time coal-fired working condition is built according to the predicted dynamic relationship and the optimized simulation model of the real-time coal-fired working condition, the initial control method is accurately simulated, which is conducive to finding 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 benefit of the coal-fired power plant.

[0114] In some embodiments of the present application, whether to correct the initial control method is determined according to the simulation coal-saving evaluation value, which includes:

[0115] Based on the simulation coal-saving catalyst control model, a simulation change characteristic of each real-time characteristic data in the simulation time period is obtained;

[0116] A simulation coal-saving evaluation value of the initial control method is generated according to the simulation change characteristics of all real-time characteristic data;

[0117] The simulation coal-saving evaluation value is subtracted from the historical coal-saving evaluation value of the initial control method to obtain a coal-saving evaluation value difference;

[0118] If the coal-saving evaluation value difference is less than a preset coal-saving evaluation value difference, the initial control method is not adjusted, and a control instruction of the coal-saving catalyst of the real-time coal-fired working condition is generated according to the initial control method.

[0119] If the difference between the coal-saving evaluation values is greater than the preset difference between the coal-saving evaluation values, the initial control parameters that need to be corrected in the initial control method are screened out, and a second control method is generated.

[0120] In some embodiments of the present application, the second control method is generated by:

[0121] If the difference between the coal-saving evaluation values is greater than the preset difference between the coal-saving evaluation values, the simulation change coefficients corresponding to the simulation change characteristics of each real-time characteristic data in the simulation period are analyzed, and the simulation change characteristics with simulation change coefficients less than the preset change coefficient threshold are screened out.

[0122] Based on the same proportional time node comparison principle, the change characteristics corresponding to the screened simulation change characteristics and the associated control parameters mapped by the change characteristics 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.

[0123] According to the change coefficient difference between the simulation change coefficient and the preset change coefficient threshold, a correction coefficient corresponding to the initial control parameter that needs to be corrected is set, the initial control parameter that needs to be corrected is corrected according to the correction coefficient, and a second control parameter is obtained.

[0124] The second control method is generated according to the second control parameter and the initial control parameter that does not need to be corrected.

[0125] The above is only the preferred embodiments of the present application, and it should be pointed out that for ordinary skilled in the art, without departing from the technical principles of the present application, a number of improvements and replacements can be made, which should be considered as the protection scope of the present application.

Claims

1. A coal saving catalyst control method for a coal-fired power plant, characterized by, The method comprises the following steps: constructing a coal-fired condition category table, wherein the coal-fired condition category table comprises a plurality of coal-fired condition categories, and each coal-fired condition category is provided with a plurality of concerned factors; obtaining the concerned factors of a real-time coal-fired condition, determining the coal-fired condition category of the real-time coal-fired condition, and determining the initial control method of the coal-saving catalyst according to the coal-fired condition category of the real-time coal-fired condition; generating a simulation coal-saving catalyst control model based on the real-time coal-fired condition and the initial control method, generating a simulation coal-saving evaluation value of the initial control method based on the simulation coal-saving catalyst control model; determining whether to modify the initial control method according to the simulation coal-saving evaluation value, generating a second control method if the initial control method is to be modified, and generating a control instruction of the coal-saving catalyst according to the second control method; constructing a coal-fired condition category table, comprising: setting a plurality of demand evaluation indexes of the coal-saving catalyst; obtaining a historical coal-fired condition log and extracting historical condition parameters in each coal-fired condition log and corresponding historical coal-saving catalyst demand; analyzing the correlation degree between each historical condition parameter and the plurality of demand evaluation indexes of the coal-saving catalyst to obtain the correlation degree between each historical condition parameter and each demand evaluation index; setting the historical condition parameter with a correlation degree greater than a preset correlation degree threshold as a characteristic condition parameter of the corresponding demand evaluation index; generating a first similarity degree and a second similarity degree between different coal-fired condition logs respectively for the characteristic condition parameter of each demand evaluation index of different coal-fired condition logs and the historical coal-saving catalyst demand of different coal-fired condition logs; if the first similarity degree between different coal-fired condition logs is greater than a preset first similarity degree threshold and the second similarity degree is greater than a preset second similarity degree threshold, setting the characteristic condition parameter of the current different coal-fired condition log as a coal-fired condition of the same category; setting the concerned factors of the coal-fired condition of the corresponding category according to the characteristic condition parameter of the coal-fired condition of the same category and the parameter interval of each characteristic condition parameter; generating the initial control method of the coal-saving catalyst according to the coal-fired condition category of the real-time coal-fired condition, comprising: obtaining the characteristic condition parameter of the real-time coal-fired condition and the parameter interval of each characteristic condition parameter, and comparing them with the concerned factors of each coal-fired condition category in the coal-fired condition category table to determine the coal-fired condition category of the real-time coal-fired condition according to the comparison result; determining the corresponding coal-saving catalyst control strategy library according to the coal-fired condition category of the real-time coal-fired condition, wherein the coal-saving catalyst control strategy library comprises a plurality of historical control methods of the coal-saving catalyst of the current coal-fired condition category, and each historical control method is associated with a specific change characteristic; generating a historical coal-saving evaluation value of the corresponding historical control method according to the change characteristic, and sorting the plurality of historical control methods according to the historical coal-saving evaluation value, and setting the first historical control method in the sorting as the initial control method of the coal-saving catalyst of the current real-time coal-fired condition, wherein the initial control method comprises a plurality of initial control parameters; determining whether to modify the initial control method according to the simulation coal-saving evaluation value, comprising: obtaining the simulation change characteristic of each real-time characteristic data in the simulation period based on the simulation coal-saving catalyst control model; generating a simulation coal-saving evaluation value of the initial control method according to the simulation change characteristics of all real-time characteristic data; differencing the simulation coal-saving evaluation value from a historical coal-saving evaluation value of the initial control method to obtain a coal-saving evaluation value difference; if the coal-saving evaluation value difference is less than a preset coal-saving evaluation value difference, not adjusting the initial control method, and generating a control instruction of the coal-saving catalyst under the real-time coal combustion condition according to the initial control method; if the coal-saving evaluation value difference is greater than the preset coal-saving evaluation value difference, screening out an initial control parameter in the initial control method that needs to be corrected, and generating a second control method; generating the second control method, including: if the coal-saving evaluation value difference is greater than the preset coal-saving evaluation value difference, analyzing a simulation change coefficient corresponding to each simulation change characteristic of the real-time characteristic data in the simulation period, and screening out a simulation change characteristic with a simulation change coefficient less than a preset change coefficient threshold value; determining a change characteristic corresponding to the screened simulation change characteristic and an associated control parameter mapped by the change characteristic based on a same-proportion time node comparison principle, and setting a current associated control parameter as the initial control parameter in the initial control method that needs to be corrected; setting a correction coefficient of the initial control parameter that needs to be corrected according to a change coefficient difference between the simulation change coefficient and the preset change coefficient threshold value, and correcting the initial control parameter that needs to be corrected according to the correction coefficient to obtain a second control parameter; generating the second control method according to the second control parameter and the initial control parameter that does not need to be corrected.

2. The coal-saving catalyst control method for a coal-fired power plant according to claim 1, characterized by, generating a first similarity degree and a second similarity degree of the different coal combustion condition logs, including: comparing the characteristic condition parameters of each demand evaluation index of the different coal combustion condition logs to obtain a parameter difference of the same characteristic condition parameters of the same demand evaluation index of the different coal combustion condition logs, and generating a similarity coefficient of the corresponding same characteristic condition parameters according to the parameter difference; generating the first similarity degree of the different coal combustion condition logs according to the similarity coefficients of the characteristic condition parameters of all demand evaluation indexes in the different coal combustion condition logs; the calculation formula of the first similarity degree is: ； D is the first similarity degree of different coal combustion condition logs, is the similarity coefficient of the ith same characteristic condition parameter of the first demand evaluation index of different coal combustion condition logs, a1 is the weight coefficient of the first demand evaluation index, is the similarity coefficient of the ith same characteristic condition parameter of the second demand evaluation index of different coal combustion condition logs, a2 is the weight coefficient of the second demand evaluation index, is the similarity coefficient of the ith same characteristic condition parameter of the jth demand evaluation index of different coal combustion condition logs, aj is the weight coefficient of the jth demand evaluation index, j is the total number of demand evaluation indexes, n1 is the total number of characteristic condition parameters of the first demand evaluation index, n2 is the total number of characteristic condition parameters of the second demand evaluation index, and nj is the total number of characteristic condition parameters of the jth demand evaluation index. comparing the historical coal-saving catalyst demands of the different coal combustion condition logs to obtain a demand difference, and generating the second similarity degree of the different coal combustion condition logs according to the demand difference.

3. The coal-saving catalyst control method for a coal-fired power plant according to claim 2, characterized by, generating a historical coal-saving evaluation value of the corresponding historical control method according to the change characteristic, including: previously setting a plurality of coal-saving evaluation indexes, and setting characteristic data of each coal-saving evaluation index and an optimal data interval of each characteristic data; obtaining a control period of each historical control method, setting a preset time interval according to the control period and generating a plurality of collection time nodes, taking the control period as a time reference line, collecting the historical characteristic data and the historical control parameter corresponding to each historical control method according to the collection time nodes, and mapping to the corresponding time reference line to obtain a characteristic data-control parameter relationship diagram; performing change gradient analysis on the historical characteristic data in the characteristic data-control parameter relationship diagram, and marking the collection time nodes with a change gradient greater than a preset first change gradient threshold value of the historical characteristic data; The historical control parameters of the previous adjacent collection time node of the collection time node of the mark are subjected to variation gradient analysis, and if the variation gradient of one or more historical control parameters is greater than a preset second variation gradient threshold, the variation value, variation trend and variation rate of the historical feature data at the collection time node of the mark are set as the variation characteristics of the corresponding historical feature data; The historical control parameters with a variation gradient greater than the preset second variation gradient threshold are set as the associated control parameters of the corresponding historical feature data, and the variation characteristics are mapped with the associated control parameters; The variation value, variation trend and variation rate in the variation characteristics of the historical feature data of the same historical control method are analyzed based on the optimal data interval of all feature data, and the variation coefficient of the corresponding historical feature data is obtained; The variation coefficient of all historical feature data of the same historical control method and the weight coefficient of the corresponding historical feature data are used to generate a historical coal-saving evaluation value of the corresponding historical control method.

4. The coal-saving catalyst control method for a coal-fired power plant according to claim 3, characterized in that, the calculation formula of the historical coal-saving evaluation value is: ； wherein P is the historical coal-saving evaluation value, m2 is the total number of historical feature data, mf is the total number of variation characteristics of the fth historical feature data, Ys,f is the variation coefficient of the s th variation characteristic of the f th historical feature data, and Qf is the weight coefficient of the f th historical feature data.

5. The coal-savings catalyst control method for coal-fired power plants according to claim 4, characterized by, A simulation coal-saving catalyst control model is generated based on the real-time coal combustion condition and the initial control method, including: obtaining equipment information and connection information of related equipment, and constructing a simulation model of the real-time coal combustion condition according to the working condition parameters of the real-time coal combustion condition and a preset modeling method; obtaining the initial control parameters to be set according to the initial control method, and establishing a prediction dynamic relationship between the initial control parameters to be set and the real-time feature data; predicting the working condition parameters of the real-time coal combustion condition in different future time periods according to the fluctuation characteristics of the historical working condition parameters in different historical time periods in the coal combustion condition category corresponding to the real-time coal combustion condition, and optimizing the simulation model of the real-time coal combustion condition; establishing a positional relationship between the prediction dynamic relationship and the optimized simulation model of the real-time coal combustion condition, and obtaining a simulation coal-saving catalyst control model of the real-time coal combustion condition.

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