Oxygen-enriched combustion optimization method for low-load circulating fluidized bed boiler

Abstract

The invention relates to the technical field of circulating fluidized bed boilers, and discloses an oxygen-enriched combustion optimization method for a low-load circulating fluidized bed boiler, and the method comprises the steps: obtaining oxygen-enriched combustion influence data, and dividing the oxygen-enriched combustion influence data into internal oxygen-enriched combustion influence data and associated oxygen-enriched combustion influence data; safe operation data are extracted, internal oxygen-enriched combustion data are processed, and internal oxygen-enriched combustion influence factors are calculated; determining oxygen-enriched combustion optimization demand information, and constructing an associated demand analysis value model; outputting an associated demand analysis value associated with the oxygen-enriched combustion influence data, and calculating an associated oxygen-enriched combustion influence factor; a comprehensive oxygen-enriched combustion influence factor is calculated according to the internal oxygen-enriched combustion influence factor and the associated oxygen-enriched combustion influence factor, and an oxygen-enriched injection strategy is set, so that accurate control of a high-concentration oxygen supply system is realized, and safe and stable operation of a boiler is ensured while efficient and clean combustion is realized; and a solid theoretical basis and technical support are provided for energy conservation, consumption reduction and emission reduction of the low-load CFB boiler.

Description

Technical Field

[0001] The invention relates to the technical field of circulating fluidized bed boilers, and in particular to an oxygen-enriched combustion optimization method for a low-load circulating fluidized bed boiler. Background Art

[0002] Under the current dual pressure of energy and environmental protection, circulating fluidized bed (CFB) boilers, as a clean coal-fired technology, have attracted much attention due to their efficient combustion performance and good environmental characteristics. However, when CFB boilers operate under low-load conditions, the combustion efficiency is significantly reduced due to problems such as furnace temperature drop, unbalanced air-coal ratio, and poor material circulation, while increasing the emission of pollutants such as NOx and CO. Therefore, how to optimize the combustion process under low load has become a key challenge to improve the overall performance of CFB boilers.

[0003] In recent years, with the development of oxygen-enriched combustion technology, it is expected to improve the combustion conditions under low load by injecting high-concentration oxygen into the combustion zone to replace traditional air. Oxygen-enriched combustion can increase the flame temperature and promote the complete combustion of fuel, thereby improving combustion efficiency and reducing pollutant emissions. However, the direct application of oxygen-enriched combustion technology to low-load CFB boilers faces a technical challenge: how to achieve precise control of the high-concentration oxygen supply system. Summary of the invention

[0004] The embodiment of the present invention provides an optimization method for oxygen-enriched combustion of a low-load circulating fluidized bed boiler. It comprehensively considers the operating data of the boiler under low-load conditions, realizes precise control of the high-concentration oxygen supply system, achieves efficient and clean combustion, and ensures safe and stable operation of the boiler, providing a solid theoretical basis and technical support for energy saving, consumption reduction and emission reduction of low-load CFB boilers.

[0005] In order to achieve the above object, the present invention provides an oxygen-enriched combustion optimization method for a low-load circulating fluidized bed boiler, comprising:

[0006] Determine a target circulating fluidized bed boiler, obtain oxygen-enriched combustion influence data of the target circulating fluidized bed boiler, analyze the oxygen-enriched combustion influence data, and divide the oxygen-enriched combustion influence data into intrinsic oxygen-enriched combustion influence data and associated oxygen-enriched combustion influence data;

[0007] Obtaining a safety operation manual corresponding to the target circulating fluidized bed boiler, extracting safety operation data corresponding to the intrinsic oxygen-rich combustion data from the safety operation manual, processing the intrinsic oxygen-rich combustion data according to the safety operation data, and calculating the intrinsic oxygen-rich combustion influence factor of the target circulating fluidized bed boiler based on the processing result;

[0008] Determining the oxygen-enriched combustion optimization demand information of the target circulating fluidized bed boiler, and constructing an associated demand analysis value model of the target circulating fluidized bed boiler according to the oxygen-enriched combustion optimization demand information and the associated oxygen-enriched combustion impact data;

[0009] Outputting an associated demand analysis value of each associated oxygen-enriched combustion influence data based on the associated demand analysis value model, and calculating an associated oxygen-enriched combustion influence factor of the target circulating fluidized bed boiler according to the associated demand analysis value;

[0010] The comprehensive oxygen-rich combustion influence factor of the target circulating fluidized bed boiler is calculated according to the intrinsic oxygen-rich combustion influence factor and the associated oxygen-rich combustion influence factor, and the oxygen-rich injection strategy of the target circulating fluidized bed boiler is set based on the comprehensive oxygen-rich combustion influence factor.

[0011] Further, when obtaining the oxygen-rich combustion influence data of the target circulating fluidized bed boiler, analyzing the oxygen-rich combustion influence data, and dividing the oxygen-rich combustion influence data into intrinsic oxygen-rich combustion influence data and associated oxygen-rich combustion influence data, it includes:

[0012] Output the data contribution of each oxygen-rich combustion impact data based on the pre-trained contribution value model;

[0013] A preset contribution degree is obtained, and when the data contribution degree is less than the preset contribution degree, the corresponding oxygen-rich combustion influence data is divided into associated oxygen-rich combustion influence data;

[0014] When the data contribution is greater than or equal to the preset contribution, the corresponding oxygen-rich combustion influence data is classified as intrinsic oxygen-rich combustion influence data;

[0015] The training method of the contribution value model is as follows:

[0016] Acquiring historical oxygen-rich combustion impact data, and constructing a data set based on the historical oxygen-rich combustion impact data;

[0017] Sampling the data set according to a preset ratio to obtain a training subset and a test subset;

[0018] A pre-selected neural network model is obtained, and the neural network model is iteratively trained according to the training subset, and the iteratively trained neural network model is evaluated according to the test subset to obtain the contribution value model.

[0019] Further, when the intrinsic oxygen-rich combustion data is processed according to the safe operation data, and the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler is calculated based on the processing result, it includes:

[0020] Classify all intrinsic oxygen-rich combustion data that meet the safety operation data into a safe oxygen-rich combustion data sequence;

[0021] Classify all intrinsic oxygen-rich combustion data that do not meet the safety operation data into a fluctuating oxygen-rich combustion data sequence;

[0022] Determine a fluctuating oxygen-rich combustion data fitting curve according to the safe oxygen-rich combustion data sequence and the fluctuating oxygen-rich combustion data sequence;

[0023] The fluctuating oxygen-rich combustion data fitting curve is analyzed, and the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler is calculated based on the analysis result.

[0024] Further, when determining the fluctuating oxygen-rich combustion data fitting curve according to the safe oxygen-rich combustion data sequence and the fluctuating oxygen-rich combustion data sequence, it includes:

[0025] Normalizing the safe oxygen-enriched combustion data sequence to obtain a safe normalized sequence;

[0026] Extracting a maximum normalized value and a minimum normalized value from the safety normalized sequence, and calculating a normalized difference between the maximum normalized value and the minimum normalized value;

[0027] respectively calculating the difference between the maximum normalized value and the normalized value in the safe normalized sequence, and constructing a difference sequence;

[0028] Extracting a minimum difference from the difference sequence, and calculating a normalized difference ratio between the normalized difference and the minimum difference;

[0029] Normalizing the fluctuating oxygen-rich combustion data sequence to obtain a fluctuating normalized sequence;

[0030] The fluctuation normalized sequence is sequentially fitted to obtain the fluctuation oxygen-rich combustion data fitting curve.

[0031] Furthermore, when analyzing the fluctuating oxygen-rich combustion data fitting curve and calculating the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler based on the analysis result, it includes:

[0032] Marking the normalized difference ratio in the fluctuating oxygen-rich combustion data fitting curve to generate a marking point;

[0033] Taking all curve segments with a value greater than the normalized difference ratio as first curve marking segments;

[0034] taking all curve segments less than or equal to the normalized difference ratio as second curve marking segments;

[0035] respectively determining a first marking distance from each normalized value on the marking segment of the first curve to the normalized difference ratio;

[0036] Constructing a first marker distance sequence according to all first marker distances;

[0037] respectively determining a second marking distance from each normalized value on the marking segment of the second curve to the normalized difference ratio;

[0038] Constructing a second marker distance sequence according to all second marker distances;

[0039] The intrinsic oxygen-rich combustion impact factor of the target circulating fluidized bed boiler is calculated according to the first marked distance sequence and the second marked distance sequence.

[0040] Further, when calculating the intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler according to the first marked distance sequence and the second marked distance sequence, it includes:

[0041] The intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler is calculated according to the following formula:

[0042]

[0043] Where g is the intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler, n1 is the number of the first marked distances in the first marked distance sequence, n2 is the number of the second marked distances in the second marked distance sequence, and e i is the first marker distance of the first marker distance sequence, f j is the jth second marker distance in the second marker distance sequence.

[0044] Further, when constructing the associated demand analysis value model of the target circulating fluidized bed boiler according to the oxygen-enriched combustion optimization demand information and the associated oxygen-enriched combustion impact data, it includes:

[0045] Determining first associated oxygen-rich combustion influence data from the associated oxygen-rich combustion influence data based on the oxygen-rich combustion optimization requirement information, and establishing a first association layer according to a first association between the first associated oxygen-rich combustion influence data and the target circulating fluidized bed boiler;

[0046] Determining second associated oxy-rich combustion influence data from the associated oxy-rich combustion influence data based on the oxy-rich combustion optimization requirement information, and establishing a second association layer according to a second association between the second associated oxy-rich combustion influence data and the target circulating fluidized bed boiler;

[0047] Determining an mth associated oxygen-rich combustion influence data from the associated oxygen-rich combustion influence data based on the oxygen-rich combustion optimization requirement information, and establishing an mth associated layer according to an mth association between the mth associated oxygen-rich combustion influence data and the target circulating fluidized bed boiler;

[0048] Based on the first association layer, the second association layer, ..., the mth association layer constructs an association demand analysis value model of the target circulating fluidized bed boiler.

[0049] Further, when outputting the associated demand analysis value of each associated oxygen-enriched combustion influence data based on the associated demand analysis value model, and calculating the associated oxygen-enriched combustion influence factor of the target circulating fluidized bed boiler according to the associated demand analysis value, it includes:

[0050] Determine the weight corresponding to each associated demand analysis value;

[0051] The associated oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler is calculated according to the following formula:

[0052]

[0053] Where h is the associated oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler, r is the number of associated demand analysis values, and y t is the tth associated demand analysis value, p t is the weight corresponding to the tth associated demand analysis value.

[0054] Further, when calculating the comprehensive oxygen-rich combustion influence factor of the target circulating fluidized bed boiler according to the intrinsic oxygen-rich combustion influence factor and the associated oxygen-rich combustion influence factor, and setting the oxygen-rich injection strategy of the target circulating fluidized bed boiler based on the comprehensive oxygen-rich combustion influence factor, it includes:

[0055] The comprehensive oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler is calculated according to the following formula:

[0056] U=w1×(1+g) h +w2×(1+h) g ;

[0057] Among them, U is the comprehensive oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler, w1 is the first calculation coefficient, and w2 is the second calculation coefficient;

[0058] Presetting a first preset comprehensive oxygen-rich combustion influence factor and a second preset comprehensive oxygen-rich combustion influence factor;

[0059] presetting a first preset oxygen-rich injection strategy, a second preset oxygen-rich injection strategy, and a third preset oxygen-rich injection strategy;

[0060] When the comprehensive oxygen-enriched combustion impact factor is less than the first preset comprehensive oxygen-enriched combustion impact factor, the first preset oxygen-enriched injection strategy is used as the oxygen-enriched injection strategy of the target circulating fluidized bed boiler;

[0061] When the comprehensive oxygen-rich combustion influence factor is greater than or equal to the first preset comprehensive oxygen-rich combustion influence factor, and less than the second preset comprehensive oxygen-rich combustion influence factor, the second preset oxygen-rich injection strategy is used as the oxygen-rich injection strategy of the target circulating fluidized bed boiler;

[0062] When the comprehensive oxygen-rich combustion influence factor is greater than or equal to the second preset comprehensive oxygen-rich combustion influence factor, the third preset oxygen-rich injection strategy is used as the oxygen-rich injection strategy of the target circulating fluidized bed boiler.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] The present invention discloses an oxygen-enriched combustion optimization method for a low-load circulating fluidized bed boiler, which includes obtaining oxygen-enriched combustion influence data and dividing the data into intrinsic oxygen-enriched combustion influence data and associated oxygen-enriched combustion influence data; extracting safe operation data, processing the intrinsic oxygen-enriched combustion data, and calculating the intrinsic oxygen-enriched combustion influence factor; determining oxygen-enriched combustion optimization demand information, and constructing an associated demand analysis value model; outputting the associated demand analysis value of the associated oxygen-enriched combustion influence data, and calculating the associated oxygen-enriched combustion influence factor; calculating the comprehensive oxygen-enriched combustion influence factor according to the intrinsic oxygen-enriched combustion influence factor and the associated oxygen-enriched combustion influence factor, setting the oxygen-enriched injection strategy, realizing the precise control of the high-concentration oxygen supply system, realizing efficient and clean combustion, and ensuring the safe and stable operation of the boiler, thereby providing a solid theoretical basis and technical support for energy saving, consumption reduction and emission reduction of low-load CFB boilers. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0066] Figure 1 A schematic flow chart of an optimization method for oxygen-enriched combustion in a low-load circulating fluidized bed boiler according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0067] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0068] 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.

[0069] 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.

[0070] 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.

[0071] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0072] like Figure 1 As shown, an embodiment of the present invention discloses an oxygen-enriched combustion optimization method for a low-load circulating fluidized bed boiler, comprising:

[0073] S110: determining a target circulating fluidized bed boiler, and obtaining oxygen-enriched combustion influence data of the target circulating fluidized bed boiler, analyzing the oxygen-enriched combustion influence data, and dividing the oxygen-enriched combustion influence data into intrinsic oxygen-enriched combustion influence data and associated oxygen-enriched combustion influence data;

[0074] In this embodiment, the oxygen-enriched combustion influencing data include temperature, oxygen enrichment rate of combustion air, boiler thermal efficiency, flame temperature, fuel ignition point, etc.

[0075] In some embodiments of the present application, when obtaining the oxygen-rich combustion influence data of the target circulating fluidized bed boiler, analyzing the oxygen-rich combustion influence data, and dividing the oxygen-rich combustion influence data into intrinsic oxygen-rich combustion influence data and associated oxygen-rich combustion influence data, the method includes:

[0076] Output the data contribution of each oxygen-rich combustion impact data based on the pre-trained contribution value model;

[0077] A preset contribution degree is obtained, and when the data contribution degree is less than the preset contribution degree, the corresponding oxygen-rich combustion influence data is divided into associated oxygen-rich combustion influence data;

[0078] When the data contribution is greater than or equal to the preset contribution, the corresponding oxygen-rich combustion influence data is classified as intrinsic oxygen-rich combustion influence data;

[0079] The training method of the contribution value model is as follows:

[0080] Acquiring historical oxygen-rich combustion impact data, and constructing a data set based on the historical oxygen-rich combustion impact data;

[0081] Sampling the data set according to a preset ratio to obtain a training subset and a test subset;

[0082] A pre-selected neural network model is obtained, and the neural network model is iteratively trained according to the training subset, and the iteratively trained neural network model is evaluated according to the test subset to obtain the contribution value model.

[0083] In this embodiment, the preset contribution degree is preferably 0.8.

[0084] The beneficial effect of the above technical solution is that the present invention can accurately train a contribution value model, and then output the data contribution corresponding to each oxygen-rich combustion influence data, and then accurately divide the intrinsic oxygen-rich combustion influence data and the associated oxygen-rich combustion influence data.

[0085] S120: obtaining a safety operation manual corresponding to the target circulating fluidized bed boiler, extracting safety operation data corresponding to the intrinsic oxygen-rich combustion data from the safety operation manual, processing the intrinsic oxygen-rich combustion data according to the safety operation data, and calculating the intrinsic oxygen-rich combustion influence factor of the target circulating fluidized bed boiler based on the processing result;

[0086] In this embodiment, each target circulating fluidized bed boiler corresponds to a safety operation manual, which records the safety operation data of the target circulating fluidized bed boiler.

[0087] In some embodiments of the present application, when the intrinsic oxygen-rich combustion data is processed according to the safe operation data, and the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler is calculated based on the processing result, it includes:

[0088] Classify all intrinsic oxygen-rich combustion data that meet the safety operation data into a safe oxygen-rich combustion data sequence;

[0089] Classify all intrinsic oxygen-rich combustion data that do not meet the safety operation data into a fluctuating oxygen-rich combustion data sequence;

[0090] Determine a fluctuating oxygen-rich combustion data fitting curve according to the safe oxygen-rich combustion data sequence and the fluctuating oxygen-rich combustion data sequence;

[0091] The fluctuating oxygen-rich combustion data fitting curve is analyzed, and the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler is calculated based on the analysis result.

[0092] In some embodiments of the present application, when determining the fluctuating oxygen-rich combustion data fitting curve according to the safe oxygen-rich combustion data sequence and the fluctuating oxygen-rich combustion data sequence, it includes:

[0093] Normalizing the safe oxygen-enriched combustion data sequence to obtain a safe normalized sequence;

[0094] Extracting a maximum normalized value and a minimum normalized value from the safety normalized sequence, and calculating a normalized difference between the maximum normalized value and the minimum normalized value;

[0095] respectively calculating the difference between the maximum normalized value and the normalized value in the safe normalized sequence, and constructing a difference sequence;

[0096] Extracting a minimum difference from the difference sequence, and calculating a normalized difference ratio between the normalized difference and the minimum difference;

[0097] Normalizing the fluctuating oxygen-rich combustion data sequence to obtain a fluctuating normalized sequence;

[0098] The fluctuation normalized sequence is sequentially fitted to obtain the fluctuation oxygen-rich combustion data fitting curve.

[0099] In this embodiment, the normalization method is complex and mature, and is not specifically limited here.

[0100] The beneficial effect of the above technical solution is that the present invention can accurately fit the fluctuating oxygen-rich combustion data fitting curve, thereby laying a foundation for the calculation of the intrinsic oxygen-rich combustion influencing factors of the target circulating fluidized bed boiler.

[0101] In some embodiments of the present application, when analyzing the fluctuating oxygen-rich combustion data fitting curve and calculating the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler based on the analysis result, it includes:

[0102] Marking the normalized difference ratio in the fluctuating oxygen-rich combustion data fitting curve to generate a marking point;

[0103] Taking all curve segments with a value greater than the normalized difference ratio as first curve marking segments;

[0104] taking all curve segments less than or equal to the normalized difference ratio as second curve marking segments;

[0105] respectively determining a first marking distance from each normalized value on the marking segment of the first curve to the normalized difference ratio;

[0106] Constructing a first marker distance sequence according to all first marker distances;

[0107] respectively determining a second marking distance from each normalized value on the marking segment of the second curve to the normalized difference ratio;

[0108] Constructing a second marker distance sequence according to all second marker distances;

[0109] The intrinsic oxygen-rich combustion impact factor of the target circulating fluidized bed boiler is calculated according to the first marked distance sequence and the second marked distance sequence.

[0110] In this embodiment, the marking distance may be determined according to a distance formula method, a Lagrange multiplier method, a numerical differentiation method, or the like.

[0111] The beneficial effect of the above technical solution is that the present invention calculates the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler according to the first marking distance sequence and the second marking distance sequence, thereby ensuring the calculation accuracy of the oxygen-rich combustion influencing factor and further ensuring the accuracy of the boiler oxygen-rich combustion optimization.

[0112] S130: Determine the oxygen-enriched combustion optimization demand information of the target circulating fluidized bed boiler, and construct an associated demand analysis value model of the target circulating fluidized bed boiler according to the oxygen-enriched combustion optimization demand information and the associated oxygen-enriched combustion impact data;

[0113] In some embodiments of the present application, when calculating the intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler according to the first marked distance sequence and the second marked distance sequence, it includes:

[0114] The intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler is calculated according to the following formula:

[0115]

[0116] Where g is the intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler, n1 is the number of the first marked distances in the first marked distance sequence, n2 is the number of the second marked distances in the second marked distance sequence, and e iis the first marker distance of the first marker distance sequence, f j is the jth second marker distance in the second marker distance sequence.

[0117] S140: outputting an associated demand analysis value of each associated oxygen-enriched combustion influence data based on the associated demand analysis value model, and calculating an associated oxygen-enriched combustion influence factor of the target circulating fluidized bed boiler according to the associated demand analysis value;

[0118] In some embodiments of the present application, when constructing the associated demand analysis value model of the target circulating fluidized bed boiler according to the oxy-fuel combustion optimization demand information and the associated oxy-fuel combustion impact data, it includes:

[0119] Determining first associated oxygen-rich combustion influence data from the associated oxygen-rich combustion influence data based on the oxygen-rich combustion optimization requirement information, and establishing a first association layer according to a first association between the first associated oxygen-rich combustion influence data and the target circulating fluidized bed boiler;

[0120] Determining second associated oxy-rich combustion influence data from the associated oxy-rich combustion influence data based on the oxy-rich combustion optimization requirement information, and establishing a second association layer according to a second association between the second associated oxy-rich combustion influence data and the target circulating fluidized bed boiler;

[0121] Determining an mth associated oxygen-rich combustion influence data from the associated oxygen-rich combustion influence data based on the oxygen-rich combustion optimization requirement information, and establishing an mth associated layer according to an mth association between the mth associated oxygen-rich combustion influence data and the target circulating fluidized bed boiler;

[0122] Based on the first association layer, the second association layer, ..., the mth association layer constructs an association demand analysis value model of the target circulating fluidized bed boiler.

[0123] In this embodiment, if the oxygen-rich combustion optimization requirement information is to avoid structural damage, the corresponding associated oxygen-rich combustion impact data is temperature, then the association between temperature and structure is established, and the first association layer is established, and the rest are not shown one by one.

[0124] The beneficial effect of the above technical solution is: the present invention first establishes the first association layer, the second association layer, ..., the mth association layer, and then trains to obtain the association demand analysis value model, thereby ensuring the output accuracy of the association demand analysis value of each associated oxygen-rich combustion impact data, without the need for manual participation in judgment, and effectively avoiding the singleness and one-sidedness of the association demand analysis value.

[0125] S150: Calculating a comprehensive oxygen-rich combustion influence factor of the target circulating fluidized bed boiler according to the intrinsic oxygen-rich combustion influence factor and the associated oxygen-rich combustion influence factor, and setting an oxygen-rich injection strategy of the target circulating fluidized bed boiler based on the comprehensive oxygen-rich combustion influence factor.

[0126] In some embodiments of the present application, when outputting the associated demand analysis value of each associated oxygen-enriched combustion influence data based on the associated demand analysis value model, and calculating the associated oxygen-enriched combustion influence factor of the target circulating fluidized bed boiler according to the associated demand analysis value, it includes:

[0127] Determine the weight corresponding to each associated demand analysis value;

[0128] The associated oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler is calculated according to the following formula:

[0129]

[0130] Where h is the associated oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler, r is the number of associated demand analysis values, and y t is the tth associated demand analysis value, p t is the weight corresponding to the tth associated demand analysis value.

[0131] In some embodiments of the present application, when calculating the comprehensive oxygen-rich combustion influence factor of the target circulating fluidized bed boiler according to the intrinsic oxygen-rich combustion influence factor and the associated oxygen-rich combustion influence factor, and setting the oxygen-rich injection strategy of the target circulating fluidized bed boiler based on the comprehensive oxygen-rich combustion influence factor, it includes:

[0132] The comprehensive oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler is calculated according to the following formula:

[0133] U=w1×(1+g) h +w2×(1+h) g ;

[0134] Among them, U is the comprehensive oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler, w1 is the first calculation coefficient, and w2 is the second calculation coefficient;

[0135] Presetting a first preset comprehensive oxygen-rich combustion influence factor and a second preset comprehensive oxygen-rich combustion influence factor;

[0136] presetting a first preset oxygen-rich injection strategy, a second preset oxygen-rich injection strategy, and a third preset oxygen-rich injection strategy;

[0137] When the comprehensive oxygen-enriched combustion impact factor is less than the first preset comprehensive oxygen-enriched combustion impact factor, the first preset oxygen-enriched injection strategy is used as the oxygen-enriched injection strategy of the target circulating fluidized bed boiler;

[0138] When the comprehensive oxygen-rich combustion influence factor is greater than or equal to the first preset comprehensive oxygen-rich combustion influence factor, and less than the second preset comprehensive oxygen-rich combustion influence factor, the second preset oxygen-rich injection strategy is used as the oxygen-rich injection strategy of the target circulating fluidized bed boiler;

[0139] When the comprehensive oxygen-rich combustion influence factor is greater than or equal to the second preset comprehensive oxygen-rich combustion influence factor, the third preset oxygen-rich injection strategy is used as the oxygen-rich injection strategy of the target circulating fluidized bed boiler.

[0140] In this embodiment, the first preset comprehensive oxygen-rich combustion influence factor is smaller than the second preset comprehensive oxygen-rich combustion influence factor.

[0141] In this embodiment, the first preset oxygen-rich injection strategy includes a first preset oxygen-rich injection amount and a first preset oxygen-rich injection speed, the second preset oxygen-rich injection strategy includes a second preset oxygen-rich injection amount and a second preset oxygen-rich injection speed, and the third oxygen-rich injection strategy includes a third preset oxygen-rich injection amount and a third preset oxygen-rich injection speed, wherein the first preset oxygen-rich injection amount is less than the second preset oxygen-rich injection amount and is less than the third preset oxygen-rich injection amount, and the first preset oxygen-rich injection speed is less than the second preset oxygen-rich injection speed and is less than the third preset oxygen-rich injection speed.

[0142] The beneficial effect of the above technical scheme is: the present invention calculates the comprehensive oxygen-rich combustion influence factor of the target circulating fluidized bed boiler according to the intrinsic oxygen-rich combustion influence factor and the associated oxygen-rich combustion influence factor, thereby ensuring the comprehensiveness of the calculation of the comprehensive oxygen-rich combustion influence factor, and at the same time dynamically sets the oxygen-rich injection strategy according to the comprehensive oxygen-rich combustion influence factor, the first preset comprehensive oxygen-rich combustion influence factor and the second preset comprehensive oxygen-rich combustion influence factor, thereby ensuring the accuracy of oxygen-rich injection, realizing precise control of the high-concentration oxygen supply system, achieving efficient and clean combustion, and ensuring the safe and stable operation of the boiler, providing a solid theoretical basis and technical support for energy saving, consumption reduction and emission reduction of low-load CFB boilers.

[0143] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0144] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0145] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for optimizing oxygen-enriched combustion in a low-load circulating fluidized bed boiler, characterized in that: include: Determine a target circulating fluidized bed boiler, obtain oxygen-enriched combustion influence data of the target circulating fluidized bed boiler, analyze the oxygen-enriched combustion influence data, and divide the oxygen-enriched combustion influence data into intrinsic oxygen-enriched combustion influence data and associated oxygen-enriched combustion influence data; Obtaining a safety operation manual corresponding to the target circulating fluidized bed boiler, extracting safety operation data corresponding to the intrinsic oxygen-rich combustion data from the safety operation manual, processing the intrinsic oxygen-rich combustion data according to the safety operation data, and calculating the intrinsic oxygen-rich combustion influence factor of the target circulating fluidized bed boiler based on the processing result; Determining the oxygen-enriched combustion optimization demand information of the target circulating fluidized bed boiler, and constructing an associated demand analysis value model of the target circulating fluidized bed boiler according to the oxygen-enriched combustion optimization demand information and the associated oxygen-enriched combustion impact data; Outputting an associated demand analysis value of each associated oxygen-enriched combustion influence data based on the associated demand analysis value model, and calculating an associated oxygen-enriched combustion influence factor of the target circulating fluidized bed boiler according to the associated demand analysis value; The comprehensive oxygen-rich combustion influence factor of the target circulating fluidized bed boiler is calculated according to the intrinsic oxygen-rich combustion influence factor and the associated oxygen-rich combustion influence factor, and the oxygen-rich injection strategy of the target circulating fluidized bed boiler is set based on the comprehensive oxygen-rich combustion influence factor.

2. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler for low load according to claim 1, characterized in that: When obtaining oxygen-enriched combustion influence data of the target circulating fluidized bed boiler, analyzing the oxygen-enriched combustion influence data, and dividing the oxygen-enriched combustion influence data into intrinsic oxygen-enriched combustion influence data and associated oxygen-enriched combustion influence data, the method includes: Output the data contribution of each oxygen-rich combustion impact data based on the pre-trained contribution value model; A preset contribution degree is obtained, and when the data contribution degree is less than the preset contribution degree, the corresponding oxygen-rich combustion influence data is divided into associated oxygen-rich combustion influence data; When the data contribution is greater than or equal to the preset contribution, the corresponding oxygen-rich combustion influence data is classified as intrinsic oxygen-rich combustion influence data; The training method of the contribution value model is as follows: Acquiring historical oxygen-rich combustion impact data, and constructing a data set based on the historical oxygen-rich combustion impact data; Sampling the data set according to a preset ratio to obtain a training subset and a test subset; A pre-selected neural network model is obtained, and the neural network model is iteratively trained according to the training subset, and the iteratively trained neural network model is evaluated according to the test subset to obtain the contribution value model.

3. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler for low load according to claim 1, characterized in that: When the intrinsic oxygen-rich combustion data is processed according to the safe operation data, and the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler is calculated based on the processing result, it includes: Classify all intrinsic oxygen-rich combustion data that meet the safety operation data into a safe oxygen-rich combustion data sequence; Classify all intrinsic oxygen-rich combustion data that do not meet the safety operation data into a fluctuating oxygen-rich combustion data sequence; Determine a fluctuating oxygen-rich combustion data fitting curve according to the safe oxygen-rich combustion data sequence and the fluctuating oxygen-rich combustion data sequence; The fluctuating oxygen-rich combustion data fitting curve is analyzed, and the intrinsic oxygen-rich combustion influencing factor of the target circulating fluidized bed boiler is calculated based on the analysis result.

4. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler for low load according to claim 3, characterized in that: When determining the fluctuating oxygen-rich combustion data fitting curve according to the safe oxygen-rich combustion data sequence and the fluctuating oxygen-rich combustion data sequence, the method includes: Normalizing the safe oxygen-enriched combustion data sequence to obtain a safe normalized sequence; Extracting a maximum normalized value and a minimum normalized value from the safety normalized sequence, and calculating a normalized difference between the maximum normalized value and the minimum normalized value; respectively calculating the difference between the maximum normalized value and the normalized value in the safe normalized sequence, and constructing a difference sequence; Extracting a minimum difference from the difference sequence, and calculating a normalized difference ratio between the normalized difference and the minimum difference; Normalizing the fluctuating oxygen-rich combustion data sequence to obtain a fluctuating normalized sequence; The fluctuation normalized sequence is sequentially fitted to obtain the fluctuation oxygen-rich combustion data fitting curve.

5. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler at low load according to claim 4, characterized in that: When analyzing the fluctuating oxygen-enriched combustion data fitting curve and calculating the intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler based on the analysis result, it includes: Marking the normalized difference ratio in the fluctuating oxygen-rich combustion data fitting curve to generate a marking point; Taking all curve segments with a value greater than the normalized difference ratio as first curve marking segments; taking all curve segments less than or equal to the normalized difference ratio as second curve marking segments; respectively determining a first marking distance from each normalized value on the marking segment of the first curve to the normalized difference ratio; Constructing a first marker distance sequence according to all first marker distances; respectively determining a second marking distance from each normalized value on the marking segment of the second curve to the normalized difference ratio; Constructing a second marker distance sequence according to all second marker distances; The intrinsic oxygen-rich combustion impact factor of the target circulating fluidized bed boiler is calculated according to the first marked distance sequence and the second marked distance sequence.

6. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler at low load according to claim 5, characterized in that: When calculating the intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler according to the first marked distance sequence and the second marked distance sequence, the method includes: The intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler is calculated according to the following formula: Where g is the intrinsic oxygen-enriched combustion influencing factor of the target circulating fluidized bed boiler, n1 is the number of the first marked distances in the first marked distance sequence, n2 is the number of the second marked distances in the second marked distance sequence, and e i is the i-th first marker distance in the first marker distance sequence, f j is the jth second marker distance in the second marker distance sequence.

7. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler for low load according to claim 1, characterized in that: When constructing the associated demand analysis value model of the target circulating fluidized bed boiler according to the oxy-fuel combustion optimization demand information and the associated oxy-fuel combustion impact data, it includes: Determining first associated oxygen-rich combustion influence data from the associated oxygen-rich combustion influence data based on the oxygen-rich combustion optimization requirement information, and establishing a first association layer according to a first association between the first associated oxygen-rich combustion influence data and the target circulating fluidized bed boiler; Determining second associated oxy-enriched combustion influence data from the associated oxy-enriched combustion influence data based on the oxy-enriched combustion optimization requirement information, and establishing a second association layer according to a second association between the second associated oxy-enriched combustion influence data and the target circulating fluidized bed boiler; Determining an mth associated oxygen-rich combustion influence data from the associated oxygen-rich combustion influence data based on the oxygen-rich combustion optimization requirement information, and establishing an mth associated layer according to an mth association between the mth associated oxygen-rich combustion influence data and the target circulating fluidized bed boiler; Based on the first association layer, the second association layer, ..., the mth association layer constructs an association demand analysis value model of the target circulating fluidized bed boiler.

8. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler at low load according to claim 1, characterized in that: When outputting the associated demand analysis value of each associated oxygen-enriched combustion influence data based on the associated demand analysis value model, and calculating the associated oxygen-enriched combustion influence factor of the target circulating fluidized bed boiler according to the associated demand analysis value, the method includes: Determine the weight corresponding to each associated demand analysis value; The associated oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler is calculated according to the following formula: Where h is the associated oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler, r is the number of associated demand analysis values, and y t is the tth associated demand analysis value, p t is the weight corresponding to the tth associated demand analysis value.

9. The method for optimizing oxygen-enriched combustion of a circulating fluidized bed boiler for low load according to claim 1, characterized in that: When calculating the comprehensive oxygen-rich combustion influence factor of the target circulating fluidized bed boiler according to the intrinsic oxygen-rich combustion influence factor and the associated oxygen-rich combustion influence factor, and setting the oxygen-rich injection strategy of the target circulating fluidized bed boiler based on the comprehensive oxygen-rich combustion influence factor, the method comprises: The comprehensive oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler is calculated according to the following formula: U=w1×(1+g) h +w2×(1+h) g ; Among them, U is the comprehensive oxygen-enriched combustion impact factor of the target circulating fluidized bed boiler, w1 is the first calculation coefficient, and w2 is the second calculation coefficient; Presetting a first preset comprehensive oxygen-rich combustion influence factor and a second preset comprehensive oxygen-rich combustion influence factor; presetting a first preset oxygen-rich injection strategy, a second preset oxygen-rich injection strategy, and a third preset oxygen-rich injection strategy; When the comprehensive oxygen-enriched combustion impact factor is less than the first preset comprehensive oxygen-enriched combustion impact factor, the first preset oxygen-enriched injection strategy is used as the oxygen-enriched injection strategy of the target circulating fluidized bed boiler; When the comprehensive oxygen-rich combustion influence factor is greater than or equal to the first preset comprehensive oxygen-rich combustion influence factor, and less than the second preset comprehensive oxygen-rich combustion influence factor, the second preset oxygen-rich injection strategy is used as the oxygen-rich injection strategy of the target circulating fluidized bed boiler; When the comprehensive oxygen-rich combustion influence factor is greater than or equal to the second preset comprehensive oxygen-rich combustion influence factor, the third preset oxygen-rich injection strategy is used as the oxygen-rich injection strategy of the target circulating fluidized bed boiler.

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