A comprehensive evaluation method and system for coal blending and combustion effect

Abstract

The present invention discloses a comprehensive evaluation method and system for the effect of coal blending and combustion, and the method includes: screening out a first group of evaluation indicators based on coal quality characteristics and combustion characteristics; determining a second group of evaluation indicators through correlation analysis of the first group of evaluation indicators; sorting the second group of evaluation indicators through the Delphi method to obtain a first sorting group; calculating the deviation value between the second group of evaluation indicators and the ideal solution through the TOPSIS method and sorting them to obtain a second sorting group; determining two groups of sorting weights, scoring the two groups of sorting according to the weights, and determining the final sorting. The present invention combines the problem of coal blending scheme with the coal blending scheme evaluation model, and effectively establishes the relationship between the unit operating parameters and the coal blending scheme; the TOPSIS evaluation method is used to avoid the subjectivity of the data, does not require an objective function, has no limit on the number of indicators, and is suitable for small samples and multiple evaluation units; combined with the Delphi subjective evaluation method, the evaluation system can meet both objective reality and actual needs.

Description

Technical Field

[0001] The present invention relates to the technical field of coal blending and combustion, and in particular to a method and system for comprehensively evaluating the effect of coal blending and combustion. Background Art

[0002] Coal is the main energy source in my country. With the development of my country's economy, the annual coal consumption accounts for 70% of the total energy consumption. Although new energy power generation has developed rapidly in recent years, due to technical limitations and geographical restrictions, my country's power generation is still dominated by thermal power generation. With the formation of the world's environmental protection awareness, the application of coal blending in power generation has become a key link. At present, in order to save costs, most power plants simply mix several single coals together after mechanical processing according to a general ratio based on the experience of unit operation to meet the requirements. However, the proportion of mixed coal is a process affected by many factors. If a single consideration is made, the proportion of coal blending is inappropriate, which may lead to problems such as excessive boiler load, substandard coal temperature, excessive economic indicators, and substandard flue gas emissions during operation.

[0003] At present, most power plants adopt coal blending optimization and use various algorithms for single-objective or multi-objective optimization, among which BP neural network is the most common. However, this method is more dependent on historical data and has high requirements for initial weights and thresholds. Genetic algorithms have good performance in global search, but are greatly affected by coal types, which will lead to too many constraints, and the coal blending effect and coal combustion efficiency are not good. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed. Therefore, the present invention provides a comprehensive evaluation method for the effect of coal blending and combustion to solve the problem that the current system is limited by the limited local storage space of the on-board event recording system, the untriggered event categories occupy a fixed space, resulting in a waste of space usage, the need to increase the storage space of the memory hardware, increase the cost of on-board communication equipment, etc., and the redundant and similar pictures that require more storage space cannot contribute additional valuable information to the problem analysis or miss important information due to missed capture.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides a method for comprehensively evaluating the effect of coal blending and combustion, comprising:

[0007] Based on the coal quality characteristics and combustion characteristics, the first group of evaluation indicators is selected;

[0008] Determine a second group of evaluation indicators by correlation analysis of the first group of evaluation indicators;

[0009] Sorting the second group of evaluation indicators by the Delphi method to obtain a first ranking group;

[0010] The deviation values ​​between the second group of evaluation indicators and the ideal solution are calculated and ranked by the TOPSIS method to obtain the second ranking group;

[0011] Determine the weights of the two groups of rankings, score the two groups of rankings according to the weights, and determine the final ranking.

[0012] As a preferred embodiment of the comprehensive evaluation method for the effect of coal blending and combustion of the present invention, the first group of evaluation indicators includes safety, economy and environmental protection indicators, specifically including:

[0013] Furnace negative pressure, flame intensity, main steam temperature, reheat steam temperature, boiler load, thermal efficiency, exhaust heat loss, heat dissipation loss, plant power consumption rate, calorific value, sulfur content, ash content, ash melting point, volatile matter, and moisture.

[0014] As a preferred solution of the comprehensive evaluation method of coal blending and combustion effect described in the present invention, the second group of evaluation indicators is sorted by the Delphi method to obtain a first sorting group, including:

[0015] The second group of evaluation indicators includes n indicators l1, l2, ..., l n , there are m coal blending schemes, each coal blending scheme contains the n indicators;

[0016] The m plans were initially evaluated through the Delphi method to obtain a preliminary ranking;

[0017] The preliminary ranking is re-evaluated for consistency to obtain a first ranking group.

[0018] As a preferred scheme of the comprehensive evaluation method of coal blending and combustion effect described in the present invention, it also includes: before performing TOPSIS analysis, the second group of evaluation index data is subjected to isotropic processing to construct an index matrix A, and after standardization in a vector manner, a standardized index matrix B is constructed.

[0019] As a preferred solution of the comprehensive evaluation method of coal blending and combustion effect described in the present invention, the deviation values ​​between the second group of evaluation indicators and the ideal solution are calculated and sorted by the TOPSIS method, including:

[0020] Calculate the positive ideal solution S as the maximum value of each column in the standardized indicator matrix B:

[0021] S=(max{y 11 ,y 21 , …, y m1},max{y 12 ,y 22 , …, ym2}, …, max{y 1n ,y 2n , …, y mn})=(s1,s2,…,s n )

[0022] Calculate the negative ideal solution S' as the minimum value of each column in the standardized indicator matrix B:

[0023] S′=(min{y 11 ,y 21 , …, y m1},min{y 12 ,y 22 , …, y m2}, …, min{y 1n ,y 2n , …, y mn})=(s'1,s'2,…,s' n )

[0024] As a preferred embodiment of the comprehensive evaluation method for the effect of coal blending and combustion of the present invention, it also includes:

[0025] Calculate the distance between each evaluation index and the positive ideal solution:

[0026]

[0027] Where: i = 1, 2, ..., m; l i is the distance between the ith target and the positive ideal solution S; s j is the optimal value of the jth indicator in the ideal solution S; y ij is the evaluated index in the standardized matrix; l i The smaller the value, the closer the evaluated target is to the ideal solution;

[0028] Calculate the distance between each evaluation target and the negative ideal solution:

[0029]

[0030] Where: i = 1, 2, ..., m; l i ′ is the distance between the i-th target and the negative ideal solution S′, s′ j is the worst value of the jth index in the negative ideal solution S′, y ij is the evaluated indicator in the standardized matrix;

[0031] Calculate the deviation value d between each evaluation index and the ideal solution i ;

[0032] According to the deviation value d i Arrange the plans corresponding to the evaluation indicators.

[0033] As a preferred solution of the comprehensive evaluation method of the coal blending and combustion effect of the present invention, wherein: determining two groups of ranking weights, scoring the two groups of rankings according to the weights respectively, and determining the final ranking, including:

[0034] There are m coal allocation schemes. The first place gets m points, the second place gets (m-1) points, and the mth place gets 1 point. It can be expressed as:

[0035] p i =m+1-i

[0036] p′ i =m+1-i

[0037] Where: i = 1, 2, ..., m; p i represents the score obtained by the i-th person in the first ranking group; p′ i represents the score obtained by the i-th person in the second ranking group;

[0038] P = αp i +(1-α)p′ i

[0039] Where: P is the total score of the comprehensive evaluation; α represents the weight distribution of the first group of ranking evaluation, α∈(0,1).

[0040] In a second aspect, the present invention provides a system for managing vehicle-mounted event data, including a screening module for screening a first set of evaluation indicators based on coal quality characteristics and combustion characteristics;

[0041] A correlation analysis module, used to determine a second group of evaluation indicators through correlation analysis of the first group of evaluation indicators;

[0042] A first ranking module, used for ranking the second group of evaluation indicators by using the Delphi method to obtain a first ranking group;

[0043] The second sorting module is used to calculate the deviation value between the second group of evaluation indicators and the ideal solution by TOPSIS method and sort them to obtain a second sorting group;

[0044] The comprehensive scoring module is used to determine the weights of the two groups of rankings, score the two groups of rankings according to the weights, and determine the final ranking.

[0045] In a third aspect, the present invention provides a computing device, comprising:

[0046] Memory and processor;

[0047] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the comprehensive evaluation method for the effect of coal blending and combustion are implemented.

[0048] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for comprehensively evaluating the effect of coal blending and combustion.

[0049] Compared with the prior art, the present invention has the following beneficial effects: the present invention combines the problems in the field of coal blending schemes with the coal blending scheme evaluation model, solves the problem that the evaluation of coal blending schemes in power plants is too dependent on workers' experience, effectively establishes the relationship between the unit operating parameters and the coal blending scheme, and can well optimize the coal blending model quantitatively; the TOPSIS evaluation method is adopted to avoid the subjectivity of the data, and does not require an objective function or a test, and can well reflect the influence of multiple influencing indicators, and has no limit on the number of indicators. It is not only suitable for small samples, but also for large systems with multiple evaluation units and multiple indicators, and is more flexible and convenient; combined with the Delphi subjective evaluation method, the Zhengge evaluation system can both meet objective reality and meet actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0051] Figure 1 It is a schematic diagram of the overall process of a method for comprehensively evaluating the effect of coal blending and combustion according to an embodiment of the present invention;

[0052] Figure 2 This is a schematic diagram of the process and results of a comprehensive evaluation method for coal blending and combustion effects described in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0054] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0055] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0056] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0057] At the same time, in the description of the present invention, it should be noted that the orientations or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the system or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0058] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or 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 the present invention can be understood according to specific circumstances.

[0059] Example 1

[0060] Reference Figure 1 , which is an embodiment of the present invention, provides a comprehensive evaluation method for the effect of coal blending and combustion, comprising:

[0061] S1: Screen out the first set of evaluation indicators based on coal quality characteristics and combustion characteristics;

[0062] Furthermore, the first group of evaluation indicators includes safety, economy and environmental protection indicators, specifically, furnace negative pressure, flame intensity, main steam temperature, reheat steam temperature, boiler load, thermal efficiency, exhaust heat loss, heat dissipation loss, plant power consumption rate, calorific value, sulfur content, ash content, ash melting point, volatile matter, and moisture.

[0063] S2: Determine the second set of evaluation indicators by correlation analysis of the first set of evaluation indicators;

[0064] Specifically, the indicator correlation analysis is as follows:

[0065]

[0066] Where: s ij is the correlation coefficient between the two indicators; x i and x j are the i-th and j-th indicators of sample k respectively; are the sample means of i and j respectively.

[0067] It should be noted that the second group of evaluation index types obtained through correlation analysis includes extremely large indicators, extremely small indicators, and interval indicators. These types of indicators together constitute the three-level evaluation indicators.

[0068] S3: sorting the second group of evaluation indicators by the Delphi method to obtain the first sorting group;

[0069] Furthermore, the second group of evaluation indicators is ranked by the Delphi method to obtain the first ranking group, including:

[0070] The second group of evaluation indicators includes n indicators l1, l2, ..., l n , there are m coal blending schemes, each of which contains n indicators;

[0071] The m plans were initially evaluated through the Delphi method to obtain a preliminary ranking;

[0072] Specifically, as shown in Table 1:

[0073] Table 1 Preliminary coal blending plan

[0074]

[0075] The preliminary ranking is reviewed for consistency to obtain the first ranking group.

[0076] The preliminary evaluation results are summarized and recorded anonymously, and only the number of rankings is shown. Assuming there are Q experts, the rankings are shown in Table 2. The weight of each row and column in the table is Q.

[0077] Table 2 Delphi review form

[0078]

[0079] Based on the above data, experts will review and rank the advantages and disadvantages of each plan until they reach a consensus and obtain the first ranking group.

[0080] Furthermore, before conducting TOPSIS analysis, the second set of evaluation index data is subjected to homogeneous processing to construct an index matrix A, which is then standardized in a vector manner to construct a standardized index matrix B.

[0081] Specifically, since the evaluation indicators include economic indicators, safety indicators and environmental indicators, usually the smaller the economic indicators, the better, and the larger the safety indicators, the better, but this is not absolute. Here, taking the construction of an increasing better indicator matrix as an example, the decreasing better indicator x in Table 1 is processed in the same direction. Since all indicators are positive numbers, the conversion formula is as follows:

[0082]

[0083] Then, construct the indicator matrix using the homogenized data:

[0084]

[0085] Constructing a standardized matrix involves:

[0086] In order to eliminate the impact of the dimensions between indicators, they are standardized using vectors:

[0087]

[0088] Construct a normalized matrix:

[0089]

[0090] S4: Calculate the deviation between the second group of evaluation indicators and the ideal solution by TOPSIS method and sort them to obtain a second sorting group;

[0091] Furthermore, the deviation values ​​between the second set of evaluation indicators and the ideal solution are calculated and ranked by the TOPSIS method, including:

[0092] Calculate the positive ideal solution S as the maximum value of each column in the standardized indicator matrix B:

[0093] S=(max{y 11 ,y 21 ,…,y m1},max{y 12 ,y 22 ,…,y m2},x,max{y 1n ,y 2n ,…,y mn})=(s1,s2,…,s n )

[0094] Calculate the negative ideal solution S' as the minimum value of each column in the standardized indicator matrix B:

[0095] S'=(min{y 11 ,y 21 ,…,y m1},min{y 12 ,y 22 ,…,y m2},…,min{y 1n ,y 2n ,…,y mn})=(s'1,s'2,…,s' n )

[0096] Furthermore, the distance between each evaluation index and the positive ideal solution is calculated:

[0097]

[0098] Where: i = 1, 2, ..., m; l i is the distance between the ith target and the positive ideal solution S; s j is the optimal value of the jth indicator in the ideal solution S; y ij is the evaluated index in the standardized matrix; l i The smaller the value, the closer the evaluated target is to the ideal solution;

[0099] Calculate the distance between each evaluation target and the negative ideal solution:

[0100]

[0101] Where: i = 1, 2, ..., m; l' i is the distance between the i-th target and the negative ideal solution S′, s′ j is the worst value of the jth index in the negative ideal solution S′, y ij is the evaluated index in the standardized matrix; l′ i The smaller the value, the closer the evaluated index is to the negative ideal solution.

[0102] Calculate the deviation value d between each evaluation index and the ideal solution i ;

[0103] Specifically, it is expressed as:

[0104]

[0105] According to the deviation value d i Arrange the plans corresponding to the evaluation indicators.

[0106] S5: Determine the weights of the two groups of rankings, score the two groups of rankings according to the weights, and determine the final ranking.

[0107] Furthermore, the weights of the two groups of rankings are determined, and the two groups of rankings are scored according to the weights to determine the final ranking, including:

[0108] There are m coal allocation schemes. The first place gets m points, the second place gets (m-1) points, and the mth place gets 1 point. It can be expressed as:

[0109] p i =m+1-i

[0110] p′ i =m+1-i

[0111] Where: i = 1, 2, ..., m; p i represents the score obtained by the i-th person in the first ranking group; p′ i represents the score obtained by the i-th person in the second ranking group;

[0112] P = αp i +(1-α)p′ i

[0113] Where: P is the total score of the comprehensive evaluation; α represents the weight distribution of the first group of ranking evaluation, α∈(0,1).

[0114] Preferably, the two weights can be 0.5 respectively, and the specific value of α can be adjusted according to actual conditions; the higher the score, the better the evaluation target.

[0115] The above is a schematic scheme of a method for comprehensive evaluation of the effect of coal blending and combustion in this embodiment. It should be noted that the technical scheme of the system for managing vehicle-borne event data and the technical scheme of the method for comprehensive evaluation of the effect of coal blending and combustion in this embodiment are of the same concept. For details not described in detail in the technical scheme of the system for managing vehicle-borne event data in this embodiment, please refer to the description of the technical scheme of the method for comprehensive evaluation of the effect of coal blending and combustion in this embodiment.

[0116] The comprehensive evaluation system for the effect of coal blending and combustion in this embodiment includes:

[0117] A screening module, used to screen out a first set of evaluation indicators based on coal quality characteristics and combustion characteristics;

[0118] A correlation analysis module, used to determine a second set of evaluation indicators through correlation analysis of the first set of evaluation indicators;

[0119] A first ranking module, used for ranking the second group of evaluation indicators by the Delphi method to obtain a first ranking group;

[0120] The second sorting module is used to calculate the deviation value between the second group of evaluation indicators and the ideal solution by TOPSIS method and sort them to obtain a second sorting group;

[0121] The comprehensive scoring module is used to determine the weights of the two groups of rankings, score the two groups of rankings according to the weights, and determine the final ranking.

[0122] This embodiment further provides a computing device, which is suitable for managing vehicle event data, including:

[0123] Memory and processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the comprehensive evaluation method for coal blending and combustion effect proposed in the above embodiment.

[0124] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for comprehensively evaluating the effect of coal blending and combustion proposed in the above embodiment is implemented.

[0125] The storage medium proposed in this embodiment and the comprehensive evaluation method for coal blending and combustion effect proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0126] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (RandomAccess Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0127] Example 2

[0128] Refer to Table 3-9 and Figure 2 , which is an embodiment of the present invention, provides a comprehensive evaluation method for the effect of coal blending and combustion, and provides an application scenario to verify its feasibility and beneficial effects.

[0129] The indicators determined by correlation analysis are mainly steam pressure, main steam temperature, boiler thermal efficiency, power supply coal consumption, exhaust gas temperature, furnace outlet oxygen content, plant power consumption rate, NO x Emissions and smoke concentration.

[0130] The evaluation index types of the evaluation system include: very large index, very small index, and interval index. 1-9 are main steam pressure, main steam temperature, boiler thermal efficiency, power supply coal consumption, exhaust gas temperature, furnace outlet oxygen content, plant power consumption rate, NO x Emissions and smoke concentration are shown in Table 3.

[0131] Table 3 Indicator types

[0132]

[0133] Evaluation system such as Figure 2 shown.

[0134] Summarize the data of coal blending schemes. There are m coal blending schemes, each of which has n indicators l1, l2, ..., l n , the evaluation is shown in Table 4.

[0135] Table 4 Coal blending scheme evaluation index data

[0136]

[0137] The preliminary evaluation results are summarized and recorded anonymously, and only the number of rankings is shown. Assuming there are 6 experts, the rankings are shown in Table 5. The weight of each row and column in the table is 6.

[0138] Table 5 Delphi method ranking

[0139]

[0140] Based on the above data, the experts reviewed and ranked the pros and cons of each plan and reached a consensus.

[0141] The final ranking is as follows: Plan D>Plan C>Plan A>Plan B>Plan E.

[0142] Since the evaluation indicators include economic indicators, safety indicators and environmental indicators, usually the smaller the economic indicators, the better, while the larger the safety indicators, the better, but this is not absolute. Here, we take the construction of an increasing indicator matrix as an example. Therefore, the decreasing indicator x in Table 3 should be processed in the same direction, and the indicator matrix A should be constructed with the same direction data, as shown in Table 6.

[0143] Table 6 Homogeneity index matrix data

[0144]

[0145]

[0146] Construct the normalized matrix B:

[0147] Table 7 Standardized matrix data

[0148]

[0149] The indicator matrix constructed by the ideal solution is as follows:

[0150] S=(0.3519,0.3215,0.3240,0.2805,0.1414,0.0915,0.1143,0.0297,0.0592)

[0151] The negative ideal solution indicator matrix is ​​as follows:

[0152] S′=(0.5066,0.4723,0.5403,0.5025,0.6055,0.7075,0.6983,0.8271,0.8043)

[0153] Calculate the deviation d between each evaluation target and the ideal solution i , the results are shown in Table 8.

[0154] Table 8 Deviation data between indicators and ideal solutions

[0155]

[0156] The deviation ranking of each evaluation target from the ideal solution includes:

[0157] According to d i value, arranging the evaluation targets from large to small, d i The larger the value, the better the target. The ranking is as follows:

[0158] Plan A>Plan D>Plan C>Plan B>Plan E.

[0159] According to the summary of subjective and objective rankings, the final ranking is shown in Table 9:

[0160] Table 9 Summary of subjective and objective rankings of different coal blending schemes

[0161]

[0162]

[0163] The final ranking is calculated through subjective and objective weights as follows:

[0164] Plan D>Plan C>Plan A>Plan B>Plan E.

[0165] The present invention combines the problems in the field of coal blending schemes with the coal blending scheme evaluation model, solves the problem that the evaluation of coal blending schemes in power plants is too dependent on the experience of workers, effectively establishes the relationship between the unit operating parameters and the coal blending scheme, and can quantitatively optimize the coal blending model. The Delphi method is used for subjective evaluation to meet the complex and changeable combustion conditions, and the TOPSIS method is used for objective evaluation to meet actual needs. The two methods are combined to construct a coal blending and combustion effect evaluation system.

[0166] It should be noted that the above embodiments are only used to illustrate the technical solutions 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A comprehensive evaluation method for the effect of coal blending and combustion, It is characterized in that include: Based on the coal quality characteristics and combustion characteristics, the first group of evaluation indicators is selected; The first group of evaluation indicators includes safety, economy and environmental protection indicators, specifically including: Furnace negative pressure, flame intensity, main steam temperature, reheat steam temperature, boiler load, thermal efficiency, exhaust heat loss, heat dissipation loss, plant power consumption rate, calorific value, sulfur content, ash content, ash melting point, volatile matter, and moisture content; Determine a second group of evaluation indicators by correlation analysis of the first group of evaluation indicators; Specifically, the correlation analysis is expressed as: Where: s ij is the correlation coefficient between the two indicators; x i and x j are the i-th and j-th indicators of sample k respectively; x i , are the sample means of i and j respectively; The second group of evaluation index types obtained through correlation analysis include extremely large indexes, extremely small indexes, and interval indexes; The second group of evaluation indicators includes n indicators l 1 ,l 2 ,…,l n , there are m coal blending schemes, each coal blending scheme contains the n indicators; Sorting the second group of evaluation indicators by the Delphi method to obtain a first ranking group; The deviation values ​​between the second group of evaluation indicators and the ideal solution are calculated and ranked by the TOPSIS method to obtain the second ranking group; Determine the weights of the two groups of rankings, score the two groups of rankings according to the weights, and determine the final ranking, including: There are m coal allocation schemes. The first place gets m points, the second place gets (m-1) points, and the mth place gets 1 point. It can be expressed as: p i =m+1-i p′ i =m+1-i Where: i = 1, 2, ..., m; p i represents the score obtained by the i-th person in the first ranking group; p′ i represents the score obtained by the i-th person in the second ranking group; P=αp i +(1-α)p′ i Where: P is the total score of the comprehensive evaluation; α represents the weight distribution of the first group of ranking evaluation, α∈(0,1).

2. The comprehensive evaluation method for the effect of coal blending and combustion as claimed in claim 1, It is characterized in that The second group of evaluation indicators is ranked by the Delphi method to obtain a first ranking group, including: The second set of evaluation indicators includes n indicators l 1 ,l 2 ,…,l n , there are m coal blending schemes, each coal blending scheme contains the n indicators; The m plans were initially evaluated through the Delphi method to obtain a preliminary ranking; The preliminary ranking is re-evaluated for consistency to obtain a first ranking group.

3. The comprehensive evaluation method for the effect of coal blending and combustion as claimed in claim 2, It is characterized in that It also includes, before performing TOPSIS analysis, performing isotropic processing on the second set of evaluation index data, constructing an index matrix A, and constructing a standardized index matrix B after standardization in a vector manner; Perform the same-direction processing, and the conversion formula is as follows: Among them, x is the index; Use the homogenized data to construct the indicator matrix A, which is expressed as: Construct the standardized matrix including B: In order to eliminate the impact of the dimensions between indicators, they are standardized using vectors: Among them, y ij is the evaluated indicator in the standardized matrix; Construct a normalized matrix: 。 4. The comprehensive evaluation method for the effect of coal blending and combustion as claimed in claim 3, It is characterized in that The deviation values ​​between the second set of evaluation indicators and the ideal solution are calculated and ranked by the TOPSIS method, including: Calculate the positive ideal solution S as the maximum value of each column in the standardized indicator matrix B: S=(max{and 11 ,and 21 ,…,and m1 },max{and 12 ,and 22 ,…,and m2 },…,max{and 1n ,and 2n ,…,and mn })=(s 1 ,s 2 ,…,s n ) Calculate the negative ideal solution S' as the minimum value of each column in the standardized indicator matrix B: S'=(min{and 11 ,and 21 ,…,and m1 },min{and 12 ,and 22 ,…,and m2 },…,min{and 1n ,and 2n ,…,and mn })=(s' 1 ,s' 2 ,…,s' n )。 5. The comprehensive evaluation method for the effect of coal blending and combustion as claimed in claim 4, It is characterized in that Also includes, Calculate the distance between each evaluation index and the positive ideal solution: Where: i = 1, 2, ..., m; l i is the distance between the ith target and the positive ideal solution S; s j is the optimal value of the jth indicator in the ideal solution S; y ij is the evaluated index in the standardized matrix; l i The smaller the value, the closer the evaluated target is to the ideal solution; Calculate the distance between each evaluation target and the negative ideal solution: Where: i = 1, 2, ..., m; l' i is the distance between the ith target and the negative ideal solution S', s' j is the worst value of the jth index in the negative ideal solution S′, y ij is the evaluated indicator in the standardized matrix; Calculate the deviation value d between each evaluation index and the ideal solution i ; According to the deviation value d i Arrange the plans corresponding to the evaluation indicators.

6. A system for the comprehensive evaluation method of coal blending and combustion effect as claimed in claim 1, It is characterized in that include, A screening module, used to screen out a first set of evaluation indicators based on coal quality characteristics and combustion characteristics; A correlation analysis module, used to determine a second group of evaluation indicators through correlation analysis of the first group of evaluation indicators; A first ranking module, used for ranking the second group of evaluation indicators by using the Delphi method to obtain a first ranking group; The second sorting module is used to calculate the deviation value between the second group of evaluation indicators and the ideal solution by TOPSIS method and sort them to obtain a second sorting group; The comprehensive scoring module is used to determine the weights of the two groups of rankings, score the two groups of rankings according to the weights, and determine the final ranking.

7. An electronic device, include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the comprehensive evaluation method for coal blending and combustion effect described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for comprehensive evaluation of coal blending and combustion effects as described in any one of claims 1 to 5.

Images