A positive balance coal consumption test method and system

Abstract

This invention relates to the field of coal consumption testing technology and discloses a positive balance coal consumption testing method and system. The method involves acquiring coal consumption impact data of a power plant based on multiple data acquisition time periods, dividing the coal consumption impact data into multiple coal consumption impact data sequences according to standard coal consumption impact data, performing curve fitting on the coal consumption impact data sequences to obtain a coal consumption impact data fitting curve, and calculating a first coal consumption factor. Identical coal consumption impact data are extracted from the coal consumption impact data sequences to obtain multiple sub-coal consumption impact data sets, and a second coal consumption factor is calculated. A comprehensive coal consumption factor is calculated based on the first and second coal consumption factors, and an average coal consumption factor is determined from all comprehensive coal consumption factors. Based on the average coal consumption factor, the power plant's power generation coal consumption and power supply coal consumption are calculated. This method can accurately calculate the online instantaneous unit power generation coal consumption and power supply coal consumption, improving the testing accuracy of positive balance coal consumption data and providing a basis for power plant energy consumption accounting.

Description

Technical Field

[0001] This invention relates to the field of coal consumption testing technology, and more specifically, to a positive balance coal consumption testing method and system. Background Technology

[0002] Coal consumption for power generation refers to the amount of standard coal required to generate one kilowatt-hour of electricity within the statistical period. Coal consumption for power supply refers to the amount of standard coal required to supply one kilowatt-hour of electricity within the statistical period. However, with the development of big data technology, traditional methods of calculating coal consumption are no longer sufficient to meet the needs of modern thermal power plants.

[0003] In existing technologies, coal consumption calculations for thermal power plants typically rely on manual testing, which is not only inefficient but also susceptible to human error, leading to inaccurate data. Furthermore, traditional coal consumption calculation methods often neglect in-depth analysis of power plant data, failing to comprehensively uncover and optimize the factors influencing coal consumption. Summary of the Invention

[0004] This invention provides a positive balance coal consumption testing method and system. This invention can accurately calculate the online instantaneous unit power generation coal consumption and power supply coal consumption, improve the testing accuracy of positive balance coal consumption data, and provide a basis for power plant energy consumption accounting.

[0005] To achieve the above objectives, the present invention provides a positive balance coal consumption testing method, comprising:

[0006] The coal consumption impact data of the power plant is obtained based on multiple data acquisition time periods. The standard coal consumption impact data corresponding to the power plant is determined. The coal consumption impact data is divided into multiple coal consumption impact data sequences based on the standard coal consumption impact data.

[0007] Curve fitting is performed on the coal consumption impact data sequence to obtain the coal consumption impact data fitting curve. The coal consumption impact data fitting curve is analyzed, and the first coal consumption factor of the coal consumption impact data sequence is calculated based on the analysis results.

[0008] Extract the same coal consumption impact data from the coal consumption impact data sequence to obtain multiple sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate the second coal consumption factor of the coal consumption impact data sequence based on the analysis results;

[0009] The comprehensive coal consumption factor of the coal consumption impact data sequence is calculated based on the first coal consumption factor and the second coal consumption factor, and the average coal consumption factor is determined from all the comprehensive coal consumption factors. The power generation coal consumption and power supply coal consumption of the power plant are calculated based on the average coal consumption factor.

[0010] Furthermore, when determining the standard coal consumption impact data corresponding to the power plant, and dividing the coal consumption impact data into multiple coal consumption impact data sequences based on the standard coal consumption impact data, the process includes:

[0011] The coal consumption impact data for each data acquisition period are classified and processed to obtain multiple coal consumption impact data categories;

[0012] Generate a first data tag for all coal consumption impact data in the coal consumption impact data class that are less than or equal to the standard coal consumption impact data;

[0013] Generate a second data tag for all coal consumption impact data in the coal consumption impact data class that are greater than the standard coal consumption impact data;

[0014] The coal consumption impact data sequence is constructed based on the first data marker and the second data marker.

[0015] Further, when performing curve fitting on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, analyzing the coal consumption impact data fitting curve, and calculating the first coal consumption factor of the coal consumption impact data sequence based on the analysis results, the process includes:

[0016] Extract all coal consumption impact data corresponding to the first data markers and construct the first sub-coal consumption impact data set;

[0017] Based on the acquisition time period, the coal consumption impact data in the first sub-coal consumption impact data set is curve-fitted to obtain the coal consumption impact data fitting curve.

[0018] Determine the rising segment, falling segment, and parallel segment of the fitted curve for the coal consumption impact data;

[0019] Determine the rising slope corresponding to the rising segment of the curve, and determine the falling slope corresponding to the falling segment of the curve;

[0020] Count the number of curve segments that are parallel to the given curve;

[0021] The rising slope and the falling slope are randomly combined in pairs to obtain multiple slope combinations;

[0022] The first coal consumption factor of the coal consumption impact data sequence is calculated based on the slope combination and the number of curve segments.

[0023] Further, when calculating the first coal consumption factor of the coal consumption impact data sequence based on the slope combination and the number of curve segments, the calculation includes:

[0024] The first coal consumption factor of the coal consumption impact data sequence is calculated according to the following formula:

[0025] ;

[0026] Where g1 is the first coal consumption factor affecting the coal consumption data sequence, m1 is the number of upward slopes, m2 is the number of downward slopes, and b a c is the rising slope in the slope combination. d denoted as the descending slope in the slope combination, and h is the correction coefficient for the first coal consumption factor determined based on the number of curve segments.

[0027] Further, the correction coefficient for the first coal consumption factor is determined according to the following steps;

[0028] Pre-set the number of the first preset curve segments and the number of the second preset curve segments;

[0029] The first preset correction coefficient, the second preset correction coefficient, and the third preset correction coefficient are preset.

[0030] When the number of curve segments is less than the number of the first preset curve segments, the first preset correction coefficient is selected as the correction coefficient of the first coal consumption factor.

[0031] When the number of curve segments is greater than or equal to the number of the first preset curve segments and less than the number of the second preset curve segments, the second preset correction coefficient is selected as the correction coefficient of the first coal consumption factor.

[0032] When the number of curve segments is greater than or equal to the number of the second preset curve segments, the third preset correction coefficient is selected as the correction coefficient for the first coal consumption factor.

[0033] Further, when extracting identical coal consumption impact data from the coal consumption impact data sequence and obtaining multiple sub-coal consumption impact data sets, analyzing the sub-coal consumption impact data sets, and calculating the second coal consumption factor of the coal consumption impact data sequence based on the analysis results, the process includes:

[0034] Extract all coal consumption impact data corresponding to the second data markers and construct the second sub-coal consumption impact data set;

[0035] Extract the same coal consumption impact data from the second sub-coal consumption impact data set to obtain multiple sub-coal consumption impact data sets;

[0036] The number of data sets in the first sub-coal consumption impact dataset of the statistical sub-coal consumption impact dataset;

[0037] Extract one coal consumption impact data point from each of the sub-coal consumption impact data sets, and calculate the sum and value of the first sub-coal consumption impact data set;

[0038] Obtain the preset coal consumption impact data, remove all sub-coal consumption impact data sets that are smaller than the preset coal consumption impact data, and count the number of the second sub-coal consumption impact data sets of the remaining sub-coal consumption impact data sets;

[0039] Extract one coal consumption impact data point from each of the remaining sub-coal consumption impact data sets, and calculate the second sub-coal consumption impact data set and its value;

[0040] The second coal consumption factor of the coal consumption impact data sequence is calculated based on the number of the first sub-coal consumption impact data set, the sum of the first sub-coal consumption impact data set, the number of the second sub-coal consumption impact data set, and the sum of the second sub-coal consumption impact data set.

[0041] Further, when calculating the second coal consumption factor of the coal consumption impact data sequence based on the quantity of the first sub-coal consumption impact data set, the sum of the first sub-coal consumption impact data set, the quantity of the second sub-coal consumption impact data set, and the sum of the second sub-coal consumption impact data set, the calculation includes:

[0042] ;

[0043] Where g2 is the second coal consumption factor of the coal consumption impact data sequence, f1 is the number of the first sub-coal consumption impact data set, f2 is the number of the second sub-coal consumption impact data set, q1 is the number of the first sub-coal consumption impact data set, and q2 is the sum of the second sub-coal consumption impact data set.

[0044] Further, when calculating the comprehensive coal consumption factor of the coal consumption impact data sequence based on the first coal consumption factor and the second coal consumption factor, and determining the average coal consumption factor from all comprehensive coal consumption factors, and calculating the power generation coal consumption and power supply coal consumption of the power plant based on the average coal consumption factor, the process includes:

[0045] A first calculation coefficient is configured for the first coal consumption factor, and a second calculation coefficient is configured for the second coal consumption factor;

[0046] The comprehensive coal consumption factor of the coal consumption impact data sequence is calculated according to the following formula;

[0047] ;

[0048] Where k is the comprehensive coal consumption factor of the coal consumption impact data sequence, t1 is the first calculation coefficient, and t2 is the second calculation coefficient;

[0049] The coal consumption of a power plant can be calculated using the following formula:

[0050] ;

[0051] Where w1 is the power plant's coal consumption for power generation, v1 is the amount of standard coal consumed in the furnace, v2 is the amount of standard coal consumed for steam supply, and N is the generator's power output.

[0052] The coal consumption for power generation at a power plant can be calculated using the following formula:

[0053] ;

[0054] Where w2 is the coal consumption for power generation at the power plant, and N1 is the power consumption of the power plant.

[0055] To achieve the above objectives, the present invention also provides a positive balance coal consumption testing system, comprising:

[0056] The sequence segmentation module is used to acquire coal consumption impact data of power plants based on multiple data acquisition time periods, determine the standard coal consumption impact data corresponding to the power plants, and divide the coal consumption impact data into multiple coal consumption impact data sequences based on the standard coal consumption impact data.

[0057] The first calculation module is used to perform curve fitting on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, analyze the coal consumption impact data fitting curve, and calculate the first coal consumption factor of the coal consumption impact data sequence based on the analysis results.

[0058] The second calculation module is used to extract the same coal consumption impact data from the coal consumption impact data sequence and obtain multiple sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate the second coal consumption factor of the coal consumption impact data sequence based on the analysis results.

[0059] The coal consumption testing module is used to calculate the comprehensive coal consumption factor of the coal consumption impact data sequence based on the first coal consumption factor and the second coal consumption factor, and to determine the average coal consumption factor from all the comprehensive coal consumption factors, and to calculate the power generation coal consumption and power supply coal consumption of the power plant based on the average coal consumption factor.

[0060] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0061] This invention discloses a positive balance coal consumption testing method and system. It acquires coal consumption impact data of a power plant based on multiple data acquisition time periods, and divides the coal consumption impact data into multiple coal consumption impact data sequences according to standard coal consumption impact data. Curve fitting is performed on the coal consumption impact data sequences to obtain a coal consumption impact data fitting curve, and a first coal consumption factor is calculated. Identical coal consumption impact data are extracted from the coal consumption impact data sequences to obtain multiple sub-coal consumption impact data sets, and a second coal consumption factor is calculated. A comprehensive coal consumption factor is calculated based on the first and second coal consumption factors, and an average coal consumption factor is determined from all comprehensive coal consumption factors. Based on the average coal consumption factor, the power plant's power generation coal consumption and power supply coal consumption are calculated. This method can accurately calculate the online instantaneous unit power generation coal consumption and power supply coal consumption, improving the testing accuracy of positive balance coal consumption data and providing a basis for power plant energy consumption accounting. Attached Figure Description

[0062] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0063] Figure 1 A flowchart illustrating the positive balance coal consumption test method in an embodiment of the present invention is shown;

[0064] Figure 2 A schematic diagram of the positive balance coal consumption test system in an embodiment of the present invention is shown. Detailed Implementation

[0065] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0066] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0067] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0068] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0069] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0070] like Figure 1 As shown, an embodiment of the present invention discloses a positive balance coal consumption test method, comprising:

[0071] S110: Obtain coal consumption impact data of power plants based on multiple data acquisition time periods, determine standard coal consumption impact data corresponding to the power plants, and divide the coal consumption impact data into multiple coal consumption impact data sequences according to the standard coal consumption impact data;

[0072] In this embodiment, the data acquisition time period is preset, such as 0-10, 11-20, 21-30, etc., in minutes, and the average coal consumption impact data within this time period is collected.

[0073] In this embodiment, the data affecting coal consumption include water consumption, oil consumption, ammonia consumption, etc.

[0074] In this embodiment, the standard coal consumption impact data and the coal consumption impact data correspond one-to-one.

[0075] In some embodiments of this application, when determining the standard coal consumption impact data corresponding to the power plant, and dividing the coal consumption impact data into multiple coal consumption impact data sequences based on the standard coal consumption impact data, the process includes:

[0076] The coal consumption impact data for each data acquisition period are classified and processed to obtain multiple coal consumption impact data categories;

[0077] Generate a first data tag for all coal consumption impact data in the coal consumption impact data class that are less than or equal to the standard coal consumption impact data;

[0078] Generate a second data tag for all coal consumption impact data in the coal consumption impact data class that are greater than the standard coal consumption impact data;

[0079] The coal consumption impact data sequence is constructed based on the first data marker and the second data marker.

[0080] In this embodiment, if the water consumption corresponding to each data acquisition time period is extracted, a coal consumption impact data class can be obtained, that is, the coal consumption impact data of the same type can be extracted.

[0081] The beneficial effects of the above technical solution are: the first step of this invention is to construct a coal consumption impact data class, and the second step is to divide the coal consumption impact data class into a first data label and a second data label, which further lays the foundation for positive balance coal consumption testing.

[0082] S120: Perform curve fitting on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, analyze the coal consumption impact data fitting curve, and calculate the first coal consumption factor of the coal consumption impact data sequence based on the analysis results;

[0083] In some embodiments of this application, when performing curve fitting on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, analyzing the coal consumption impact data fitting curve, and calculating the first coal consumption factor of the coal consumption impact data sequence based on the analysis results, the process includes:

[0084] Extract all coal consumption impact data corresponding to the first data markers and construct the first sub-coal consumption impact data set;

[0085] Based on the acquisition time period, the coal consumption impact data in the first sub-coal consumption impact data set is curve-fitted to obtain the coal consumption impact data fitting curve.

[0086] Determine the rising segment, falling segment, and parallel segment of the fitted curve for the coal consumption impact data;

[0087] Determine the rising slope corresponding to the rising segment of the curve, and determine the falling slope corresponding to the falling segment of the curve;

[0088] Count the number of curve segments that are parallel to the given curve;

[0089] The rising slope and the falling slope are randomly combined in pairs to obtain multiple slope combinations;

[0090] The first coal consumption factor of the coal consumption impact data sequence is calculated based on the slope combination and the number of curve segments.

[0091] In this embodiment, the coal consumption impact data in the first sub-coal consumption impact data set are curve fitted based on the time sequence.

[0092] In this embodiment, the rising segment of the curve is defined as follows: On the curve, when both the independent variable (e.g., time) and the dependent variable (e.g., the impact of coal consumption) increase, this segment is considered the rising segment. Mathematically, this is typically represented by a positive first derivative of the function value. The falling segment of the curve is the opposite of the rising segment; when the independent variable increases while the dependent variable decreases, this segment is considered the falling segment. Mathematically, this is represented by a negative first derivative of the function value. The parallel segment of the curve is defined as follows: If, within a certain interval, the dependent variable remains constant regardless of changes in the independent variable, then this segment of the curve can be considered a parallel segment.

[0093] In this embodiment, if there is a curve parallelism segment whose left and right ends are connected to an ascending curve segment or a descending curve segment, then this curve parallelism segment is counted as a quantity.

[0094] In this embodiment, after randomly combining the rising slope and the falling slope in pairs, if there is a separate rising slope or falling slope, it is deleted.

[0095] The beneficial effects of the above technical solution are: the present invention calculates the first coal consumption factor of the coal consumption impact data sequence based on the slope combination and the number of curve segments, ensuring the calculation accuracy of the first coal consumption factor and providing a basis for the calculation of the comprehensive coal consumption factor of the coal consumption impact data sequence.

[0096] In some embodiments of this application, calculating the first coal consumption factor of the coal consumption impact data sequence based on the slope combination and the number of curve segments includes:

[0097] The first coal consumption factor of the coal consumption impact data sequence is calculated according to the following formula:

[0098] ;

[0099] Where g1 is the first coal consumption factor affecting the coal consumption data sequence, m1 is the number of upward slopes, m2 is the number of downward slopes, and b a c is the rising slope in the slope combination. d denoted as the descending slope in the slope combination, and h is the correction coefficient for the first coal consumption factor determined based on the number of curve segments.

[0100] In some embodiments of this application, the correction coefficient of the first coal consumption factor is determined according to the following steps;

[0101] Pre-set the number of the first preset curve segments and the number of the second preset curve segments;

[0102] The first preset correction coefficient, the second preset correction coefficient, and the third preset correction coefficient are preset.

[0103] When the number of curve segments is less than the number of the first preset curve segments, the first preset correction coefficient is selected as the correction coefficient of the first coal consumption factor.

[0104] When the number of curve segments is greater than or equal to the number of the first preset curve segments and less than the number of the second preset curve segments, the second preset correction coefficient is selected as the correction coefficient of the first coal consumption factor.

[0105] When the number of curve segments is greater than or equal to the number of the second preset curve segments, the third preset correction coefficient is selected as the correction coefficient for the first coal consumption factor.

[0106] In this embodiment, the number of the first preset curve segments is preferably 2, and the number of the second preset curve segments is preferably 4.

[0107] In this embodiment, the first preset correction coefficient is preferably 0.85, the second preset correction coefficient is preferably 1.15, and the third preset correction coefficient is preferably 1.25.

[0108] The beneficial effects of the above technical solution are: by selecting the corresponding preset correction coefficient through the number of curve segments, the number of first preset curve segments, and the number of second preset curve segments, the present invention can realize the dynamic adjustment of the first coal consumption factor, and further ensure the calculation accuracy of the first coal consumption factor.

[0109] S130: Extract the same coal consumption impact data from the coal consumption impact data sequence and obtain multiple sub-coal consumption impact data sets. Analyze the sub-coal consumption impact data sets and calculate the second coal consumption factor of the coal consumption impact data sequence based on the analysis results.

[0110] In some embodiments of this application, when extracting identical coal consumption impact data from the coal consumption impact data sequence to obtain multiple sub-coal consumption impact data sets, analyzing the sub-coal consumption impact data sets, and calculating the second coal consumption factor of the coal consumption impact data sequence based on the analysis results, the process includes:

[0111] Extract all coal consumption impact data corresponding to the second data markers and construct the second sub-coal consumption impact data set;

[0112] Extract the same coal consumption impact data from the second sub-coal consumption impact data set to obtain multiple sub-coal consumption impact data sets;

[0113] The number of data sets in the first sub-coal consumption impact dataset of the statistical sub-coal consumption impact dataset;

[0114] Extract one coal consumption impact data point from each of the sub-coal consumption impact data sets, and calculate the sum and value of the first sub-coal consumption impact data set;

[0115] Obtain the preset coal consumption impact data, remove all sub-coal consumption impact data sets that are smaller than the preset coal consumption impact data, and count the number of the second sub-coal consumption impact data sets of the remaining sub-coal consumption impact data sets;

[0116] Extract one coal consumption impact data point from each of the remaining sub-coal consumption impact data sets, and calculate the second sub-coal consumption impact data set and its value;

[0117] The second coal consumption factor of the coal consumption impact data sequence is calculated based on the number of the first sub-coal consumption impact data set, the sum of the first sub-coal consumption impact data set, the number of the second sub-coal consumption impact data set, and the sum of the second sub-coal consumption impact data set.

[0118] In this embodiment, the preset coal consumption impact data refers to the variance of the coal consumption impact data in the second sub-coal consumption impact data set.

[0119] The beneficial effects of the above technical solution are as follows: The present invention calculates the second coal consumption factor of the coal consumption impact data sequence based on the number of the first sub-coal consumption impact data set, the sum of the first sub-coal consumption impact data set, the number of the second sub-coal consumption impact data set, and the sum of the second sub-coal consumption impact data set, thereby achieving accurate calculation of the second coal consumption factor and providing a basis for the calculation of the comprehensive coal consumption factor of the coal consumption impact data sequence.

[0120] In some embodiments of this application, when calculating the first coal consumption factor and the second coal consumption factor of the coal consumption impact data sequence based on the quantity of the first sub-coal consumption impact data set, the sum of the first sub-coal consumption impact data set and the second sub-coal consumption impact data set and the sum of the second sub-coal consumption impact data set, the calculation includes:

[0121] ;

[0122] Where g2 represents the first and second coal consumption factors in the coal consumption impact data sequence, f1 represents the number of the first sub-coal consumption impact data set, f2 represents the number of the second sub-coal consumption impact data set, q1 represents the number of the first sub-coal consumption impact data set, and q2 represents the sum of the second sub-coal consumption impact data set.

[0123] S140: Calculate the comprehensive coal consumption factor of the coal consumption impact data sequence based on the first coal consumption factor and the second coal consumption factor, and determine the average coal consumption factor from all comprehensive coal consumption factors, and calculate the power generation coal consumption and power supply coal consumption of the power plant based on the average coal consumption factor.

[0124] In some embodiments of this application, when calculating the comprehensive coal consumption factor of the coal consumption impact data sequence based on the first coal consumption factor and the second coal consumption factor, and determining the average coal consumption factor from all comprehensive coal consumption factors, and calculating the power generation coal consumption and power supply coal consumption of the power plant based on the average coal consumption factor, the process includes:

[0125] A first calculation coefficient is configured for the first coal consumption factor, and a second calculation coefficient is configured for the second coal consumption factor;

[0126] The comprehensive coal consumption factor of the coal consumption impact data sequence is calculated according to the following formula;

[0127] ;

[0128] Where k is the comprehensive coal consumption factor of the coal consumption impact data sequence, t1 is the first calculation coefficient, and t2 is the second calculation coefficient;

[0129] The coal consumption of a power plant can be calculated using the following formula:

[0130] ;

[0131] Where w1 is the power plant's coal consumption for power generation, v1 is the amount of standard coal consumed in the furnace, v2 is the amount of standard coal consumed for steam supply, and N is the generator's power output.

[0132] The coal consumption for power generation at a power plant can be calculated using the following formula:

[0133] ;

[0134] Where w2 is the coal consumption for power generation at the power plant, and N1 is the power consumption of the power plant.

[0135] The beneficial effects of the above technical solution are: the present invention can accurately calculate the online instantaneous coal consumption for power generation and power supply, improve the accuracy of positive balance coal consumption data testing, and provide a basis for power plant energy consumption accounting.

[0136] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.

[0137] Correspondingly, such as Figure 2 As shown, this application also provides a positive balance coal consumption testing system, comprising:

[0138] The sequence segmentation module is used to acquire coal consumption impact data of power plants based on multiple data acquisition time periods, determine the standard coal consumption impact data corresponding to the power plants, and divide the coal consumption impact data into multiple coal consumption impact data sequences based on the standard coal consumption impact data.

[0139] The first calculation module is used to perform curve fitting on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, analyze the coal consumption impact data fitting curve, and calculate the first coal consumption factor of the coal consumption impact data sequence based on the analysis results.

[0140] The second calculation module is used to extract the same coal consumption impact data from the coal consumption impact data sequence and obtain multiple sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate the second coal consumption factor of the coal consumption impact data sequence based on the analysis results.

[0141] The coal consumption testing module is used to calculate the comprehensive coal consumption factor of the coal consumption impact data sequence based on the first coal consumption factor and the second coal consumption factor, and to determine the average coal consumption factor from all the comprehensive coal consumption factors, and to calculate the power generation coal consumption and power supply coal consumption of the power plant based on the average coal consumption factor.

[0142] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0143] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed in this invention can be combined with each other in any way. The fact that not all of these combinations are described in this specification is merely for the sake of brevity and resource conservation.

[0144] It will be understood by those skilled in the art that the above are merely 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 foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for testing positive balance coal consumption, characterized in that, include: The coal consumption impact data of the power plant is obtained based on multiple data acquisition time periods. The standard coal consumption impact data corresponding to the power plant is determined. The coal consumption impact data is divided into multiple coal consumption impact data sequences based on the standard coal consumption impact data. Curve fitting is performed on the coal consumption impact data sequence to obtain the coal consumption impact data fitting curve. The coal consumption impact data fitting curve is analyzed, and the first coal consumption factor of the coal consumption impact data sequence is calculated based on the analysis results. Extract the same coal consumption impact data from the coal consumption impact data sequence to obtain multiple sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate the second coal consumption factor of the coal consumption impact data sequence based on the analysis results; The comprehensive coal consumption factor of the coal consumption impact data sequence is calculated based on the first coal consumption factor and the second coal consumption factor, and the average coal consumption factor is determined from all the comprehensive coal consumption factors. The power generation coal consumption and power supply coal consumption of the power plant are calculated based on the average coal consumption factor. When performing curve fitting on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, analyzing the coal consumption impact data fitting curve, and calculating the first coal consumption factor of the coal consumption impact data sequence based on the analysis results, the process includes: Extract all coal consumption impact data corresponding to the first data markers and construct the first sub-coal consumption impact data set; Based on the acquisition time period, the coal consumption impact data in the first sub-coal consumption impact data set is curve-fitted to obtain the coal consumption impact data fitting curve. Determine the rising segment, falling segment, and parallel segment of the fitted curve for the coal consumption impact data; Determine the rising slope corresponding to the rising segment of the curve, and determine the falling slope corresponding to the falling segment of the curve; Count the number of curve segments that are parallel to the given curve; The rising slope and the falling slope are randomly combined in pairs to obtain multiple slope combinations; The first coal consumption factor of the coal consumption impact data sequence is calculated based on the slope combination and the number of curve segments. When calculating the first coal consumption factor of the coal consumption impact data sequence based on the slope combination and the number of curve segments, the following steps are included: The first coal consumption factor of the coal consumption impact data sequence is calculated according to the following formula: ； Where g1 is the first coal consumption factor affecting the coal consumption data sequence, m1 is the number of upward slopes, m2 is the number of downward slopes, and b a c is the rising slope in the slope combination. d denoted as the descending slope in the slope combination, and h is the correction coefficient for the first coal consumption factor determined based on the number of curve segments.

2. The positive balance coal consumption test method according to claim 1, characterized in that, When determining the standard coal consumption impact data corresponding to the power plant, and dividing the coal consumption impact data into multiple coal consumption impact data sequences based on the standard coal consumption impact data, the process includes: The coal consumption impact data for each data acquisition period are classified and processed to obtain multiple coal consumption impact data categories; Generate a first data tag for all coal consumption impact data in the coal consumption impact data class that are less than or equal to the standard coal consumption impact data; Generate a second data tag for all coal consumption impact data in the coal consumption impact data class that are greater than the standard coal consumption impact data; The coal consumption impact data sequence is constructed based on the first data marker and the second data marker.

3. The positive balance coal consumption test method according to claim 1, characterized in that, The correction factor for the first coal consumption factor is determined according to the following steps; Pre-set the number of the first preset curve segments and the number of the second preset curve segments; The first preset correction coefficient, the second preset correction coefficient, and the third preset correction coefficient are preset. When the number of curve segments is less than the number of the first preset curve segments, the first preset correction coefficient is selected as the correction coefficient of the first coal consumption factor. When the number of curve segments is greater than or equal to the number of the first preset curve segments and less than the number of the second preset curve segments, the second preset correction coefficient is selected as the correction coefficient of the first coal consumption factor. When the number of curve segments is greater than or equal to the number of the second preset curve segments, the third preset correction coefficient is selected as the correction coefficient for the first coal consumption factor.

4. The positive balance coal consumption test method according to claim 3, characterized in that, When extracting identical coal consumption impact data from the coal consumption impact data sequence to obtain multiple sub-coal consumption impact data sets, analyzing the sub-coal consumption impact data sets, and calculating the second coal consumption factor of the coal consumption impact data sequence based on the analysis results, the process includes: Extract all coal consumption impact data corresponding to the second data markers and construct the second sub-coal consumption impact data set; Extract the same coal consumption impact data from the second sub-coal consumption impact data set to obtain multiple sub-coal consumption impact data sets; The number of data sets in the first sub-coal consumption impact dataset of the statistical sub-coal consumption impact dataset; Extract one coal consumption impact data point from each of the sub-coal consumption impact data sets, and calculate the sum and value of the first sub-coal consumption impact data set; Obtain the preset coal consumption impact data, remove all sub-coal consumption impact data sets that are smaller than the preset coal consumption impact data, and count the number of the second sub-coal consumption impact data sets of the remaining sub-coal consumption impact data sets; Extract one coal consumption impact data point from each of the remaining sub-coal consumption impact data sets, and calculate the second sub-coal consumption impact data set and its value; The second coal consumption factor of the coal consumption impact data sequence is calculated based on the number of the first sub-coal consumption impact data set, the sum of the first sub-coal consumption impact data set, the number of the second sub-coal consumption impact data set, and the sum of the second sub-coal consumption impact data set.

5. The positive balance coal consumption test method according to claim 4, characterized in that, When calculating the second coal consumption factor of the coal consumption impact data sequence based on the quantity of the first sub-coal consumption impact data set, the sum of the first sub-coal consumption impact data set, the quantity of the second sub-coal consumption impact data set, and the sum of the second sub-coal consumption impact data set, the calculation includes: ； Where g2 is the second coal consumption factor of the coal consumption impact data sequence, f1 is the number of the first sub-coal consumption impact data set, f2 is the number of the second sub-coal consumption impact data set, q1 is the sum of the first sub-coal consumption impact data set, and q2 is the sum of the second sub-coal consumption impact data set.

6. The positive balance coal consumption test method according to claim 5, characterized in that, When calculating the comprehensive coal consumption factor of the coal consumption impact data sequence based on the first coal consumption factor and the second coal consumption factor, and determining the average coal consumption factor from all comprehensive coal consumption factors, and calculating the power generation coal consumption and power supply coal consumption of the power plant based on the average coal consumption factor, the process includes: A first calculation coefficient is configured for the first coal consumption factor, and a second calculation coefficient is configured for the second coal consumption factor; The comprehensive coal consumption factor of the coal consumption impact data sequence is calculated according to the following formula; ； Where k is the comprehensive coal consumption factor of the coal consumption impact data sequence, t1 is the first calculation coefficient, and t2 is the second calculation coefficient; The coal consumption of a power plant can be calculated using the following formula: ； Where w1 is the power plant's coal consumption for power generation, v1 is the amount of standard coal consumed in the furnace, v2 is the amount of standard coal consumed for steam supply, and N is the generator's power output. The coal consumption for power generation at a power plant can be calculated using the following formula: ； Where w2 is the coal consumption for power generation at the power plant, and N1 is the power consumption of the power plant.

7. A positive balance coal consumption testing system, applied to the positive balance coal consumption testing method as described in any one of claims 1-6, characterized in that, include: The sequence segmentation module is used to acquire coal consumption impact data of power plants based on multiple data acquisition time periods, determine the standard coal consumption impact data corresponding to the power plants, and divide the coal consumption impact data into multiple coal consumption impact data sequences according to the standard coal consumption impact data. The first calculation module is used to perform curve fitting on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, analyze the coal consumption impact data fitting curve, and calculate the first coal consumption factor of the coal consumption impact data sequence based on the analysis results. The second calculation module is used to extract the same coal consumption impact data from the coal consumption impact data sequence and obtain multiple sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate the second coal consumption factor of the coal consumption impact data sequence based on the analysis results. The coal consumption testing module is used to calculate the comprehensive coal consumption factor of the coal consumption impact data sequence based on the first coal consumption factor and the second coal consumption factor, and to determine the average coal consumption factor from all the comprehensive coal consumption factors, and to calculate the power generation coal consumption and power supply coal consumption of the power plant based on the average coal consumption factor.

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