Positive balance coal consumption testing method and system

Abstract

The invention relates to the technical field of coal consumption testing, and discloses a positive balance coal consumption testing method and system, and the method comprises the steps: obtaining the coal consumption influence data of a power plant based on a plurality of data obtaining time periods, and dividing the coal consumption influence data into a plurality of coal consumption influence data sequences according to the standard coal consumption influence data; performing curve fitting on the coal consumption influence data sequence to obtain a coal consumption influence data fitting curve, and calculating a first coal consumption factor; extracting the same coal consumption influence data from the coal consumption influence data sequence to obtain a plurality of sub-coal consumption influence data sets, and calculating a second coal consumption factor; comprehensive coal consumption factors of the coal consumption influence data sequence are calculated according to the first coal consumption factor and the second coal consumption factor, an average coal consumption factor is determined from all the comprehensive coal consumption factors, power generation coal consumption and power supply coal consumption of the power plant are calculated based on the average coal consumption factor, and the power generation coal consumption and the power supply coal consumption of the online instantaneous unit can be accurately calculated. The test accuracy of the positive balance coal consumption data is improved, and a basis is provided for power plant energy consumption accounting.

Description

Technical Field

[0001] The present invention relates to the technical field of coal consumption testing, and in particular to a positive balance coal consumption testing method and system. Background Art

[0002] Coal consumption for power generation refers to the amount of standard coal consumed for each kilowatt-hour of electricity generated during the statistical period. Coal consumption for power supply refers to the amount of standard coal consumed for each kilowatt-hour of electricity supplied during the statistical period. However, with the development of big data technology, traditional coal consumption calculation methods have been unable to meet the needs of modern thermal power generation companies.

[0003] In the existing technology, the coal consumption calculation of thermal power generation enterprises usually relies on manual testing, which is not only inefficient but also easily affected by human factors, resulting in inaccurate data. In addition, the traditional coal consumption calculation method often ignores the in-depth analysis of power plant data and cannot achieve comprehensive mining and optimization of factors affecting coal consumption. Summary of the invention

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

[0005] In order to achieve the above object, the present invention provides a positive balance coal consumption test method, comprising: Acquire coal consumption impact data of a power plant based on multiple data acquisition time periods, determine standard coal consumption impact data corresponding to the power plant, and divide the coal consumption impact data into multiple coal consumption impact data sequences according to the standard coal consumption impact data; 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 a first coal consumption factor of the coal consumption impact data sequence based on the analysis result; Extracting the same coal consumption impact data from the coal consumption impact data sequence to obtain a plurality of sub-coal consumption impact data sets, analyzing the sub-coal consumption impact data sets, and calculating a second coal consumption factor of the coal consumption impact data sequence based on the analysis result; The comprehensive coal consumption factor of the coal consumption influencing data sequence is calculated according to 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, and the power generation coal consumption and power supply coal consumption of the power plant are calculated based on the average coal consumption factor.

[0006] Further, when determining the standard coal consumption impact data corresponding to the power plant, and dividing the coal consumption impact data into a plurality of coal consumption impact data sequences according to the standard coal consumption impact data, it includes: Classify and process the coal consumption impact data in each data acquisition time period 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 is less than or equal to the standard coal consumption impact data; Generating a second data mark 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 according to the first data marker and the second data marker.

[0007] Further, when curve fitting is performed on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, the coal consumption impact data fitting curve is analyzed, and a first coal consumption factor of the coal consumption impact data sequence is calculated based on the analysis result, the method includes: Extracting the coal consumption impact data corresponding to all first data tags, and constructing a first sub-coal consumption impact data set; Performing curve fitting on the coal consumption impact data in the first sub-coal consumption impact data set based on the acquisition time period to obtain a coal consumption impact data fitting curve; Determine the rising section, the falling section and the parallel section of the coal consumption impact data fitting curve; respectively determining the rising slope corresponding to the rising section of the curve and determining the falling slope corresponding to the falling section of the curve; Counting the number of curve segments that are parallel to the curve; Randomly combining the rising slopes and the falling slopes in pairs to obtain a plurality of slope combinations; The first coal consumption factor of the coal consumption influencing data sequence is calculated according to the slope combination and the number of curve segments.

[0008] Further, when calculating the first coal consumption factor of the coal consumption influencing data sequence according to the slope combination and the number of curve segments, it includes: The first coal consumption factor of the coal consumption influencing data sequence is calculated according to the following formula: ; Among them, g1 is the first coal consumption factor affecting the coal consumption data series, m1 is the number of rising slopes, m2 is the number of falling slopes, b a is the rising slope in the slope combination, c d is the descending slope in the slope combination, and h is the correction coefficient of the first coal consumption factor determined according to the number of curve segments.

[0009] Further, the correction coefficient of the first coal consumption factor is determined according to the following steps; Presetting a first preset number of curve segments and a second preset number of curve segments; Presetting a first preset correction coefficient, a second preset correction coefficient, and a third preset correction coefficient; When the number of the curve segments is less than the first preset number of curve segments, the first preset correction coefficient is selected as the correction coefficient of the first coal consumption factor; When the number of the curve segments is greater than or equal to the first preset number of curve segments and less than the second preset number of 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 second preset number of curve segments, the third preset correction coefficient is selected as the correction coefficient of the first coal consumption factor.

[0010] Further, when extracting the same coal consumption influencing data from the coal consumption influencing data sequence and obtaining a plurality of sub-coal consumption influencing data sets, analyzing the sub-coal consumption influencing data sets, and calculating the second coal consumption factor of the coal consumption influencing data sequence based on the analysis result, the method includes: Extracting the coal consumption impact data corresponding to all second data tags, and constructing a second sub-coal consumption impact data set; extracting the same coal consumption impact data from the second sub-coal consumption impact data set, and obtaining a plurality of sub-coal consumption impact data sets; Count the number of the first sub-coal consumption influencing data set of the sub-coal consumption influencing data set; Extracting a coal consumption impact data from all sub-coal consumption impact data sets respectively, and calculating the first sub-coal consumption impact data set and value; Obtaining preset preset coal consumption impact data, eliminating all sub-coal consumption impact data sets that are smaller than the preset coal consumption impact data, and counting the number of second sub-coal consumption impact data sets of the remaining sub-coal consumption impact data sets; Extracting one coal consumption impact data from each of the remaining sub-coal consumption impact data sets, and calculating a second sub-coal consumption impact data set and value; The second coal consumption factor of the coal consumption influencing data sequence is calculated according to the number of the first sub-coal consumption influencing data sets, the sum of the first sub-coal consumption influencing data sets, the number of the second sub-coal consumption influencing data sets and the sum of the second sub-coal consumption influencing data sets.

[0011] Further, when calculating the second coal consumption factor of the coal consumption influencing data sequence according to the number of the first sub-coal consumption influencing data sets, the sum of the first sub-coal consumption influencing data sets, the number of the second sub-coal consumption influencing data sets, and the sum of the second sub-coal consumption influencing data sets, it includes: ; Among them, g2 is the second coal consumption factor of the coal consumption influencing data sequence, f1 is the number of the first sub-coal consumption influencing data set, f2 is the number of the second sub-coal consumption influencing data set, q1 is the number of the first sub-coal consumption influencing data set, and q2 is the sum value of the second sub-coal consumption influencing data set.

[0012] Further, when calculating the comprehensive coal consumption factor of the coal consumption influencing data sequence according to the first coal consumption factor and the second coal consumption factor, and determining the average coal consumption factor from all the 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, it includes: configuring a first calculation coefficient for the first coal consumption factor, and configuring a second calculation coefficient for the second coal consumption factor; The comprehensive coal consumption factor of the coal consumption influencing data series is calculated according to the following formula: ; Among them, k is the comprehensive coal consumption factor of the coal consumption influencing data series, t1 is the first calculation coefficient, and t2 is the second calculation coefficient; The coal consumption of power generation in a power plant is calculated according to the following formula: ; Among them, w1 is the coal consumption of the power plant, v1 is the coal consumption of standard coal entering the furnace, v2 is the coal consumption of standard coal for steam supply, and N is the power of the generator; The coal consumption of power generation in a power plant is calculated according to the following formula: ; Among them, w2 is the coal consumption of the power plant, and N1 is the power consumption of the power plant.

[0013] In order to achieve the above object, the present invention also provides a positive balance coal consumption test system, comprising: A sequence division module, used for acquiring the coal consumption impact data of the power plant based on multiple data acquisition time periods, 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 according to the standard coal consumption impact data; A 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 a first coal consumption factor of the coal consumption impact data sequence based on the analysis result; a second calculation module, configured to extract the same coal consumption impact data from the coal consumption impact data sequence, and obtain a plurality of sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate a second coal consumption factor of the coal consumption impact data sequence based on the analysis result; The coal consumption testing module is used to calculate the comprehensive coal consumption factor of the coal consumption influencing data sequence according to the first coal consumption factor and the second coal consumption factor, determine the average coal consumption factor from all the 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.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses a positive balance coal consumption test method and system. The method comprises the following steps: obtaining 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 sequence to obtain a coal consumption impact data fitting curve, and calculating a first coal consumption factor; extracting the same coal consumption impact data from the coal consumption impact data sequence to obtain multiple sub-coal consumption impact data sets, and calculating a second coal consumption factor; calculating a comprehensive coal consumption factor of the coal consumption impact data sequence according to the first coal consumption factor and the second coal consumption factor, and determining an average coal consumption factor from all the 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 power generation coal consumption and power supply coal consumption of the online instantaneous unit can be accurately calculated, thereby improving the test accuracy of the positive balance coal consumption data and providing a basis for energy consumption accounting of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] 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: Figure 1 A schematic flow chart of a positive balance coal consumption test method in an embodiment of the present invention is shown; Figure 2 A structural schematic diagram of a positive balance coal consumption test system in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0016] 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.

[0017] 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.

[0018] 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.

[0019] 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.

[0020] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0021] like Figure 1 As shown, an embodiment of the present invention discloses a positive balance coal consumption test method, comprising: S110: acquiring coal consumption impact data of a power plant based on multiple data acquisition time periods, determining standard coal consumption impact data corresponding to the power plant, and dividing the coal consumption impact data into multiple coal consumption impact data sequences according to the standard coal consumption impact data; In this embodiment, the data acquisition time period is pre-set, such as 0-10, 11-20, 21-30, etc., in minutes, and the average coal consumption impact data within this time period is collected.

[0022] In this embodiment, the coal consumption impact data includes water consumption, oil consumption, ammonia consumption, oil consumption, etc.

[0023] In this embodiment, the standard coal consumption impact data corresponds to the coal consumption impact data one by one.

[0024] In some embodiments of the present application, when determining the standard coal consumption impact data corresponding to the power plant, and dividing the coal consumption impact data into a plurality of coal consumption impact data sequences according to the standard coal consumption impact data, it includes: Classify and process the coal consumption impact data in each data acquisition time period 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 is less than or equal to the standard coal consumption impact data; Generating a second data mark 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 according to the first data marker and the second data marker.

[0025] 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 are extracted.

[0026] The beneficial effects of the above technical solution are: the first step of the present 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 tag and a second data tag, further laying the foundation for the positive balance coal consumption test.

[0027] S120: 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 a first coal consumption factor of the coal consumption impact data sequence based on the analysis result; In some embodiments of the present application, when curve fitting is performed on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, the coal consumption impact data fitting curve is analyzed, and a first coal consumption factor of the coal consumption impact data sequence is calculated based on the analysis result, including: Extracting the coal consumption impact data corresponding to all first data tags, and constructing a first sub-coal consumption impact data set; Performing curve fitting on the coal consumption impact data in the first sub-coal consumption impact data set based on the acquisition time period to obtain a coal consumption impact data fitting curve; Determine the rising section, the falling section and the parallel section of the coal consumption impact data fitting curve; respectively determining the rising slope corresponding to the rising section of the curve and determining the falling slope corresponding to the falling section of the curve; Counting the number of curve segments that are parallel to the curve; Randomly combining the rising slopes and the falling slopes in pairs to obtain a plurality of slope combinations; The first coal consumption factor of the coal consumption influencing data sequence is calculated according to the slope combination and the number of curve segments.

[0028] 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.

[0029] In this embodiment, the rising section of the curve: on the curve, when the dependent variable (such as coal consumption impact data) increases with the increase of the independent variable (such as time), this part is the rising section. Mathematically, this is usually manifested as the first-order derivative of the function value being positive. The falling section of the curve: contrary to the rising section, when the independent variable increases and the dependent variable decreases, this part is the falling section. Mathematically, this is manifested as the first-order derivative of the function value being negative. The parallel section of the curve: if within a certain interval, no matter how the independent variable changes, the dependent variable remains unchanged, then this section of the curve can be regarded as a parallel section.

[0030] 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 regarded as a quantity.

[0031] In this embodiment, after the rising slopes and the falling slopes are randomly combined in pairs, if there is a single rising slope or a single falling slope, it is deleted.

[0032] The beneficial effect of the above technical solution is: the present invention calculates the first coal consumption factor of the coal consumption influencing data sequence according to the slope combination and the number of curve segments, thereby 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 influencing data sequence.

[0033] In some embodiments of the present application, when calculating the first coal consumption factor of the coal consumption influencing data sequence according to the slope combination and the number of curve segments, it includes: The first coal consumption factor of the coal consumption influencing data sequence is calculated according to the following formula: ; Among them, g1 is the first coal consumption factor affecting the coal consumption data series, m1 is the number of rising slopes, m2 is the number of falling slopes, b a is the rising slope in the slope combination, c d is the descending slope in the slope combination, and h is the correction coefficient of the first coal consumption factor determined according to the number of curve segments.

[0034] In some embodiments of the present application, the correction coefficient of the first coal consumption factor is determined according to the following steps; Presetting a first preset number of curve segments and a second preset number of curve segments; Presetting a first preset correction coefficient, a second preset correction coefficient, and a third preset correction coefficient; When the number of the curve segments is less than the first preset number of curve segments, the first preset correction coefficient is selected as the correction coefficient of the first coal consumption factor; When the number of the curve segments is greater than or equal to the first preset number of curve segments and less than the second preset number of 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 second preset number of curve segments, the third preset correction coefficient is selected as the correction coefficient of the first coal consumption factor.

[0035] 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.

[0036] 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.

[0037] The beneficial effect of the above technical solution is that the present invention can realize dynamic adjustment of the first coal consumption factor by selecting the corresponding preset correction coefficient through the number of curve segments, the first preset number of curve segments and the second preset number of curve segments, thereby further ensuring the calculation accuracy of the first coal consumption factor.

[0038] S130: extracting the same coal consumption influencing data from the coal consumption influencing data sequence, and obtaining a plurality of sub-coal consumption influencing data sets, analyzing the sub-coal consumption influencing data sets, and calculating a second coal consumption factor of the coal consumption influencing data sequence based on the analysis result; In some embodiments of the present application, when extracting the same coal consumption impact data from the coal consumption impact data sequence and obtaining a plurality of 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 result, the method includes: Extracting the coal consumption impact data corresponding to all second data tags, and constructing a second sub-coal consumption impact data set; extracting the same coal consumption impact data from the second sub-coal consumption impact data set, and obtaining a plurality of sub-coal consumption impact data sets; Count the number of the first sub-coal consumption influencing data set of the sub-coal consumption influencing data set; Extracting a coal consumption impact data from all sub-coal consumption impact data sets respectively, and calculating the first sub-coal consumption impact data set and value; Obtaining preset preset coal consumption impact data, eliminating all sub-coal consumption impact data sets that are smaller than the preset coal consumption impact data, and counting the number of second sub-coal consumption impact data sets of the remaining sub-coal consumption impact data sets; Extracting one coal consumption impact data from each of the remaining sub-coal consumption impact data sets, and calculating a second sub-coal consumption impact data set and value; The second coal consumption factor of the coal consumption influencing data sequence is calculated according to the number of the first sub-coal consumption influencing data sets, the sum of the first sub-coal consumption influencing data sets, the number of the second sub-coal consumption influencing data sets and the sum of the second sub-coal consumption influencing data sets.

[0039] In this embodiment, the pre-set preset coal consumption influencing data refers to the variance of the coal consumption influencing data in the second sub-coal consumption influencing data set.

[0040] The beneficial effect of the above technical solution is: the present invention calculates the second coal consumption factor of the coal consumption influencing data sequence according to the number of the first sub-coal consumption influencing data set, the sum of the first sub-coal consumption influencing data set, the number of the second sub-coal consumption influencing data set and the sum of the second sub-coal consumption influencing 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 influencing data sequence.

[0041] In some embodiments of the present application, when calculating the first coal consumption factor and the second coal consumption factor of the coal consumption influencing data sequence according to the number of the first sub-coal consumption influencing data sets, the sum of the first sub-coal consumption influencing data sets, the number of the second sub-coal consumption influencing data sets, and the sum of the second sub-coal consumption influencing data sets, the first coal consumption influencing data sets and the coal ... include: ; Among them, g2 is the first coal consumption factor and the second coal consumption factor of the coal consumption influencing data sequence, f1 is the number of the first sub-coal consumption influencing data set, f2 is the number of the second sub-coal consumption influencing data set, q1 is the number of the first sub-coal consumption influencing data set, and q2 is the sum value of the second sub-coal consumption influencing data set.

[0042] S140: Calculate the comprehensive coal consumption factor of the coal consumption influencing data sequence according to the first coal consumption factor and the second coal consumption factor, determine the average coal consumption factor from all the 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.

[0043] In some embodiments of the present application, when calculating the comprehensive coal consumption factor of the coal consumption influencing data sequence according to the first coal consumption factor and the second coal consumption factor, determining the average coal consumption factor from all the 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, it includes: configuring a first calculation coefficient for the first coal consumption factor, and configuring a second calculation coefficient for the second coal consumption factor; The comprehensive coal consumption factor of the coal consumption influencing data series is calculated according to the following formula: ; Among them, k is the comprehensive coal consumption factor of the coal consumption influencing data series, t1 is the first calculation coefficient, and t2 is the second calculation coefficient; The coal consumption of power generation in a power plant is calculated according to the following formula: ; Among them, w1 is the coal consumption of the power plant, v1 is the coal consumption of standard coal entering the furnace, v2 is the coal consumption of standard coal for steam supply, and N is the power of the generator; The coal consumption of power generation in a power plant is calculated according to the following formula: ; Among them, w2 is the coal consumption of the power plant, and N1 is the power consumption of the power plant.

[0044] The beneficial effect of the above technical solution is that the present invention can accurately calculate the online instantaneous coal consumption for power generation and power supply, improve the test accuracy of positive balance coal consumption data, and provide a basis for energy consumption accounting of power plants.

[0045] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0046] Correspondingly, such as Figure 2 As shown, the present application also provides a positive balance coal consumption test system, comprising: A sequence division module, used for acquiring the coal consumption impact data of the power plant based on multiple data acquisition time periods, 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 according to the standard coal consumption impact data; A 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 a first coal consumption factor of the coal consumption impact data sequence based on the analysis result; a second calculation module, configured to extract the same coal consumption impact data from the coal consumption impact data sequence, and obtain a plurality of sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate a second coal consumption factor of the coal consumption impact data sequence based on the analysis result; The coal consumption testing module is used to calculate the comprehensive coal consumption factor of the coal consumption influencing data sequence according to the first coal consumption factor and the second coal consumption factor, determine the average coal consumption factor from all the 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.

[0047] 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.

[0048] 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.

[0049] 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 positive balance coal consumption test method, characterized in that: include: Acquire coal consumption impact data of a power plant based on multiple data acquisition time periods, determine standard coal consumption impact data corresponding to the power plant, and divide the coal consumption impact data into multiple coal consumption impact data sequences according to the standard coal consumption impact data; 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 a first coal consumption factor of the coal consumption impact data sequence based on the analysis result; Extracting the same coal consumption impact data from the coal consumption impact data sequence to obtain a plurality of sub-coal consumption impact data sets, analyzing the sub-coal consumption impact data sets, and calculating a second coal consumption factor of the coal consumption impact data sequence based on the analysis result; The comprehensive coal consumption factor of the coal consumption influencing data sequence is calculated according to 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, and the power generation coal consumption and power supply coal consumption of the power plant are calculated based on the average coal consumption factor.

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 a plurality of coal consumption impact data sequences according to the standard coal consumption impact data, the method includes: Classify and process the coal consumption impact data in each data acquisition time period 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 is less than or equal to the standard coal consumption impact data; Generating a second data mark 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 according to the first data marker and the second data marker.

3. The positive balance coal consumption test method according to claim 2, characterized in that: When curve fitting is performed on the coal consumption impact data sequence to obtain a coal consumption impact data fitting curve, the coal consumption impact data fitting curve is analyzed, and a first coal consumption factor of the coal consumption impact data sequence is calculated based on the analysis result, including: Extracting the coal consumption impact data corresponding to all first data tags, and constructing a first sub-coal consumption impact data set; Performing curve fitting on the coal consumption impact data in the first sub-coal consumption impact data set based on the acquisition time period to obtain a coal consumption impact data fitting curve; Determine the rising section, the falling section and the parallel section of the coal consumption impact data fitting curve; respectively determining the rising slope corresponding to the rising section of the curve and determining the falling slope corresponding to the falling section of the curve; Counting the number of curve segments that are parallel to the curve; Randomly combining the rising slopes and the falling slopes in pairs to obtain a plurality of slope combinations; The first coal consumption factor of the coal consumption influencing data sequence is calculated according to the slope combination and the number of curve segments.

4. The positive balance coal consumption test method according to claim 3, characterized in that: When calculating the first coal consumption factor of the coal consumption influencing data sequence according to the slope combination and the number of curve segments, it includes: The first coal consumption factor of the coal consumption influencing data sequence is calculated according to the following formula: ； Among them, g1 is the first coal consumption factor affecting the coal consumption data series, m1 is the number of rising slopes, m2 is the number of falling slopes, b a is the rising slope in the slope combination, c d is the descending slope in the slope combination, and h is the correction coefficient of the first coal consumption factor determined according to the number of curve segments.

5. The positive balance coal consumption test method according to claim 4, characterized in that: Determine the correction factor of the first coal consumption factor according to the following steps; Presetting a first preset number of curve segments and a second preset number of curve segments; Presetting a first preset correction coefficient, a second preset correction coefficient, and a third preset correction coefficient; When the number of the curve segments is less than the first preset number of curve segments, the first preset correction coefficient is selected as the correction coefficient of the first coal consumption factor; When the number of the curve segments is greater than or equal to the first preset number of curve segments and less than the second preset number of 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 second preset number of curve segments, the third preset correction coefficient is selected as the correction coefficient of the first coal consumption factor.

6. The positive balance coal consumption test method according to claim 5, characterized in that: When extracting the same coal consumption influencing data from the coal consumption influencing data sequence and obtaining a plurality of sub-coal consumption influencing data sets, analyzing the sub-coal consumption influencing data sets, and calculating a second coal consumption factor of the coal consumption influencing data sequence based on the analysis result, the method comprises: Extracting the coal consumption impact data corresponding to all second data tags, and constructing a second sub-coal consumption impact data set; extracting the same coal consumption impact data from the second sub-coal consumption impact data set, and obtaining a plurality of sub-coal consumption impact data sets; Count the number of the first sub-coal consumption influencing data set of the sub-coal consumption influencing data set; Extracting a coal consumption impact data from all sub-coal consumption impact data sets respectively, and calculating the first sub-coal consumption impact data set and value; Obtaining preset preset coal consumption impact data, eliminating all sub-coal consumption impact data sets that are smaller than the preset coal consumption impact data, and counting the number of second sub-coal consumption impact data sets of the remaining sub-coal consumption impact data sets; Extracting one coal consumption impact data from each of the remaining sub-coal consumption impact data sets, and calculating a second sub-coal consumption impact data set and value; The second coal consumption factor of the coal consumption influencing data sequence is calculated according to the number of the first sub-coal consumption influencing data sets, the sum of the first sub-coal consumption influencing data sets, the number of the second sub-coal consumption influencing data sets and the sum of the second sub-coal consumption influencing data sets.

7. The positive balance coal consumption test method according to claim 6, characterized in that: When calculating the second coal consumption factor of the coal consumption influencing data sequence according to the number of the first sub-coal consumption influencing data sets, the sum of the first sub-coal consumption influencing data sets, the number of the second sub-coal consumption influencing data sets, and the sum of the second sub-coal consumption influencing data sets, it includes: ； Among them, g2 is the second coal consumption factor of the coal consumption influencing data sequence, f1 is the number of the first sub-coal consumption influencing data set, f2 is the number of the second sub-coal consumption influencing data set, q1 is the number of the first sub-coal consumption influencing data set, and q2 is the sum value of the second sub-coal consumption influencing data set.

8. The positive balance coal consumption test method according to claim 1, characterized in that: When calculating the comprehensive coal consumption factor of the coal consumption influencing data sequence according to the first coal consumption factor and the second coal consumption factor, determining the average coal consumption factor from all the comprehensive coal consumption factors, and calculating the power generation coal consumption and the power supply coal consumption of the power plant based on the average coal consumption factor, the method comprises: configuring a first calculation coefficient for the first coal consumption factor, and configuring a second calculation coefficient for the second coal consumption factor; The comprehensive coal consumption factor of the coal consumption influencing data series is calculated according to the following formula: ； Among them, k is the comprehensive coal consumption factor of the coal consumption influencing data series, t1 is the first calculation coefficient, and t2 is the second calculation coefficient; The coal consumption of power generation in a power plant is calculated according to the following formula: ； Among them, w1 is the coal consumption of the power plant, v1 is the coal consumption of standard coal entering the furnace, v2 is the coal consumption of standard coal for steam supply, and N is the power of the generator; The coal consumption of power generation in a power plant is calculated according to the following formula: ； Among them, w2 is the coal consumption of the power plant, and N1 is the power consumption of the power plant.

9. A positive balance coal consumption test system, characterized in that: include: A sequence division module, used for acquiring the coal consumption impact data of the power plant based on multiple data acquisition time periods, 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 according to the standard coal consumption impact data; A 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 a first coal consumption factor of the coal consumption impact data sequence based on the analysis result; a second calculation module, configured to extract the same coal consumption impact data from the coal consumption impact data sequence, and obtain a plurality of sub-coal consumption impact data sets, analyze the sub-coal consumption impact data sets, and calculate a second coal consumption factor of the coal consumption impact data sequence based on the analysis result; The coal consumption testing module is used to calculate the comprehensive coal consumption factor of the coal consumption influencing data sequence according to the first coal consumption factor and the second coal consumption factor, determine the average coal consumption factor from all the 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.

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