CN117408414A - Comprehensive evaluation method and system for blending coal burning effect - Google Patents
Comprehensive evaluation method and system for blending coal burning effect Download PDFInfo
- Publication number
- CN117408414A CN117408414A CN202310930195.9A CN202310930195A CN117408414A CN 117408414 A CN117408414 A CN 117408414A CN 202310930195 A CN202310930195 A CN 202310930195A CN 117408414 A CN117408414 A CN 117408414A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- group
- coal
- sorting
- index
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 124
- 239000003245 coal Substances 0.000 title claims abstract description 81
- 238000002156 mixing Methods 0.000 title claims abstract description 71
- 230000000694 effects Effects 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 claims abstract description 34
- 238000002485 combustion reaction Methods 0.000 claims abstract description 33
- 238000012163 sequencing technique Methods 0.000 claims abstract description 20
- 238000010219 correlation analysis Methods 0.000 claims abstract description 12
- 238000013278 delphi method Methods 0.000 claims abstract description 12
- 238000012216 screening Methods 0.000 claims abstract description 10
- 239000011159 matrix material Substances 0.000 claims description 29
- 238000003860 storage Methods 0.000 claims description 8
- 239000000779 smoke Substances 0.000 claims description 7
- 230000007613 environmental effect Effects 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 4
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 3
- 229940060587 alpha e Drugs 0.000 claims description 3
- 230000017525 heat dissipation Effects 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 238000012552 review Methods 0.000 claims description 3
- 229910052717 sulfur Inorganic materials 0.000 claims description 3
- 239000011593 sulfur Substances 0.000 claims description 3
- 238000002844 melting Methods 0.000 claims description 2
- 230000008018 melting Effects 0.000 claims description 2
- 238000010977 unit operation Methods 0.000 abstract description 4
- 238000013210 evaluation model Methods 0.000 abstract description 3
- 238000010248 power generation Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000007599 discharging Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 239000007789 gas Substances 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000011867 re-evaluation Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Regulation And Control Of Combustion (AREA)
Abstract
The invention discloses a comprehensive evaluation method and a comprehensive evaluation system for blending coal and burning effect, wherein the method comprises the following steps: screening out a first group of evaluation indexes according to the coal quality characteristics and the combustion characteristics; determining a second group of evaluation indexes by correlation analysis on the first group of evaluation indexes; sorting the second group of evaluation indexes by a Delphi method to obtain a first sorting group; calculating and sequencing deviation values between the second group of evaluation indexes and ideal solutions through a TOPSIS method to obtain a second sequencing group; and determining two groups of sorting weights, scoring the two groups of sorting according to the weights respectively, and determining the final sorting. The invention combines the problem of the coal blending scheme with the coal blending scheme evaluation model, and effectively establishes the relation between the unit operation parameters and the coal blending scheme; the TOPSIS evaluation method avoids subjectivity of data, does not need an objective function, has no limitation on the number of indexes, and is suitable for small samples and multiple evaluation units; the subjective evaluation method of Delfei is combined, so that the evaluation system can meet objective reality and actual requirements.
Description
Technical Field
The invention relates to the technical field of blending coal blending combustion, in particular to a comprehensive evaluation method and system for blending coal blending combustion effect.
Background
Coal is the main energy source of China, with the development of economy of China, the annual consumption of coal accounts for 70% of the total energy consumption, and although new energy power generation is rapidly developed in recent years, the power generation of China is still mainly thermal power generation due to technical limitations and regional limitations. Along with the formation of environmental protection consciousness in the world, the application of coal blending and combustion in power generation is more critical. At present, in order to save the cost, a plurality of single coals are mechanically processed and mixed together according to a general proportion only according to unit operation experience, but the proportion of the mixed coals is a process influenced by multiple factors, if the single proportion is considered, the improper proportion of the mixed coals can cause the problems of excessive load of a boiler, substandard temperature of the fire coal, excessive economic index, substandard smoke emission and the like in the operation process.
At present, most power plants adopt coal blending optimization, and various algorithms are used for single-objective or multi-objective optimization, wherein BP neural networks are used for a lot, but the method is relatively dependent on historical data and has higher requirements on initial weights and threshold values; the genetic algorithm has better embodiment in the aspect of global searching performance, but is greatly influenced by coal types, so that the constraint conditions are excessive, and the coal blending effect and the coal burning efficiency are not good.
Disclosure of Invention
The present invention has been made in view of the above-described problems occurring in the prior art. Therefore, the invention provides a comprehensive evaluation method for the blending coal burning effect, which solves the problems that the existing system is limited by the limited local storage space of a vehicle-mounted event recording system, the non-triggered event types occupy fixed space to cause space use waste, the storage space of memory hardware is required to be increased, the cost of vehicle-mounted communication equipment is required to be increased, and the like, and the redundant similar pictures of coworkers with more storage space are not capable of additionally contributing valuable information for problem analysis or missing capture to miss important information.
In order to solve the technical problems, the invention provides the following technical scheme:
in a first aspect, the invention provides a comprehensive evaluation method for blending coal and burning effect, comprising the following steps:
screening out a first group of evaluation indexes according to the coal quality characteristics and the combustion characteristics;
determining a second set of evaluation indexes by correlation analysis on the first set of evaluation indexes;
sorting the second group of evaluation indexes by a Delphi method to obtain a first sorting group;
calculating and sequencing deviation values between the second group of evaluation indexes and ideal solutions through a TOPSIS method to obtain a second sequencing group;
and determining two groups of sorting weights, scoring the two groups of sorting according to the weights respectively, and determining the final sorting.
As a preferable scheme of the comprehensive evaluation method for the blending combustion effect of the coal, the invention comprises the following steps: the first set of evaluation indicators includes safety, economy and environmental protection indicators, including in particular,
hearth negative pressure, flame intensity, main steam temperature, reheat steam temperature, boiler load, heat efficiency, smoke exhaust heat loss, heat dissipation loss, station service power, heating value, sulfur content, ash melting point, volatile matter and moisture.
As a preferable scheme of the comprehensive evaluation method for the blending combustion effect of the coal, the invention comprises the following steps: sorting the second set of evaluation indicators by delta film to obtain a first sorted set comprising,
the second group of evaluation indexes comprises n indexes l 1 ，l 2 ，…，l n M coal blending schemes are provided, and each coal blending scheme comprises n indexes;
performing initial evaluation on the m schemes by a Delphi method to obtain initial sorting;
and carrying out consistency review on the preliminary ranking to obtain a first ranking group.
As a preferable scheme of the comprehensive evaluation method for the blending combustion effect of the coal, the invention comprises the following steps: and before TOPSIS analysis, performing homodromous processing on the second group of evaluation index data to construct an index matrix A, and after the index matrix A is normalized in a vector mode, constructing a normalized index matrix B.
As a preferable scheme of the comprehensive evaluation method for the blending combustion effect of the coal, the invention comprises the following steps: the bias values between the second set of evaluation indicators and the ideal solution are calculated by TOPSIS method and ranked, including,
calculating a positive ideal solution S as the maximum value of each column in the standardized index matrix B:
S＝(max{y 11 ，y 21 ，…，y m1 }，max{y 12 ，y 22 ，…，y m2 }，…，max{y 1n ，y 2n ，…，y mn })＝(s 1 ，s 2 ，…，s n )
calculating a negative ideal solution S' as the minimum value of each column in the standardized index matrix B:
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 )
as a preferable scheme of the comprehensive evaluation method for the blending combustion effect of the coal, the invention comprises the following steps: also included is a method of manufacturing a semiconductor device,
calculating the distance between each evaluation index and the positive ideal solution:
wherein: i=1, 2, …, m; l (L) i Distance from the ith target to the ideal solution S; s is(s) j Is the optimal value of the j index in the ideal solution S; y is ij Is an evaluated index in a standardized matrix; l (L) i The smaller the value, the closer the object being evaluated is to the ideal solution;
calculating the distance between each evaluation target and the negative ideal solution:
wherein: i=1, 2, …, m; l (L) i ' is the distance of the ith target from the negative ideal solution S ', S ' j Is the worst value, y, of the j-th index in the negative ideal solution S ij Is an evaluated index in a standardized matrix;
calculating the deviation value d of each evaluation index and the ideal solution i ；
According to the deviation value d i And arranging schemes corresponding to the evaluation indexes.
As a preferable scheme of the comprehensive evaluation method for the blending combustion effect of the coal, the invention comprises the following steps: determining two sets of ranking weights, scoring the two sets of rankings according to the weights, respectively, determining a final ranking, including,
there are m coal blending schemes, calculated as the m 1 st score, the (m-1) 2 nd score … m 1 st score, expressed as:
p i ＝m+1-i
p′ i ＝m+1-i
wherein: i=1, 2, …, m; p is p i Representing the score obtained by the first ordered set of the ith name; p's' i Representing the score obtained by the ith name of the second ordered set;
P＝αp i +(1-α)p′ i
wherein: p is the total score of the comprehensive evaluation; alpha represents the weight allocation for the first set of ranking scores, alpha e (0, 1).
In a second aspect, the present invention provides a system for managing vehicle event data, including a screening module for screening a first set of evaluation indicators according to a coal quality characteristic and a combustion characteristic;
the correlation analysis module is used for determining a second group of evaluation indexes from the first group of evaluation indexes through correlation analysis;
the first ordering module is used for ordering the second group of evaluation indexes through a Delphi method to obtain a first ordering group;
the second sorting module is used for calculating and sorting deviation values between a second group of evaluation indexes and ideal solutions through a TOPSIS method to obtain a second sorting group;
and the comprehensive scoring module is used for determining two groups of sequencing weights, scoring the two groups of sequencing weights according to the weights respectively, and determining the final sequencing.
In a third aspect, the present invention provides a computing device comprising:
a memory and a processor;
the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions, and the computer executable instructions realize the steps of the comprehensive evaluation method for the coal blending combustion effect when being executed by the processor.
In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the method for comprehensively evaluating the blending combustion effect of coal.
Compared with the prior art, the invention has the beneficial effects that: the method combines the problems in the field of the coal blending scheme with the coal blending scheme evaluation model, solves the problem that the evaluation of the coal blending scheme of the power plant is too dependent on the experience of workers, effectively establishes the relation between the unit operation parameters and the coal blending scheme, and can well quantitatively optimize the coal blending model; the TOPSIS evaluation method avoids subjectivity of data, does not need an objective function or inspection, can well embody influence forces of a plurality of influence indexes, has no limitation on the number of the indexes, is applicable to small samples, is applicable to large systems with multiple evaluation units and multiple indexes, and is more flexible and convenient; the combination of the Delfei subjective evaluation method enables the Zhengge evaluation system to meet objective reality and actual requirements.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic overall flow chart of a comprehensive evaluation method for blending combustion effect of coal according to an embodiment of the invention;
fig. 2 is a schematic diagram of an example process and results of pictures in the method for comprehensively evaluating the blending combustion effect of coal according to an embodiment of the invention.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present invention is not limited to the specific embodiments disclosed below.
Further, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic can be included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
While the embodiments of the present invention have been illustrated and described in detail in the drawings, the cross-sectional view of the device structure is not to scale in the general sense for ease of illustration, and the drawings are merely exemplary and should not be construed as limiting the scope of the invention. In addition, the three-dimensional dimensions of length, width and depth should be included in actual fabrication.
Also in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the system or element to be referred to must have a specific direction, be constructed and operated in the specific direction, and thus should not be construed as limiting the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected, and coupled" should be construed broadly in this disclosure unless otherwise specifically indicated and defined, such as: can be fixed connection, detachable connection or integral connection; it may also be a mechanical connection, an electrical connection, or a direct connection, or may be indirectly connected through an intermediate medium, or may be a communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Example 1
Referring to fig. 1, for an embodiment of the present invention, a method for comprehensively evaluating a blending combustion effect of coal is provided, including:
s1: screening out a first group of evaluation indexes according to the coal quality characteristics and the combustion characteristics;
further, the first set 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 gas heat loss, heat dissipation loss, plant power, heating value, sulfur content, ash fusion point, volatile matter, moisture.
S2: determining a second group of evaluation indexes by correlation analysis on the first group of evaluation indexes;
specifically, the index correlation analysis is as follows:
wherein: s is(s) ij Is the correlation coefficient between 2 indexes; x is x i And x j The i and j indexes of the sample k are respectively;the sample means of i, j are referred to respectively.
It should be noted that, the second group of evaluation index types obtained through correlation analysis include a maximum index, a minimum index, and a section index, and these types of indexes together constitute a three-level evaluation index.
S3: sorting the second group of evaluation indexes by a Delphi method to obtain a first sorting group;
further, the second set of evaluation indicators is ranked by delta film to obtain a first ranked set comprising,
the second group of evaluation indexes comprises n indexes l 1 ,l 2 ,…,l n M coal blending schemes are provided, and each coal blending scheme comprises n indexes;
performing initial evaluation on the m schemes by a Delphi method to obtain initial sorting;
specifically, as shown in table 1:
table 1 preliminary coal blending schedule
And performing consistency re-evaluation on the preliminary ranking to obtain a first ranking group.
And counting and summarizing initial evaluation results, wherein the initial evaluation results are in an unnamed mode, and only the number of times of obtaining the ranking is reflected. Assuming Q experts, the ranking is shown in table 2. Each row and each column in the table is weighted Q.
TABLE 2 Deerfil review form
And the expert performs reevaluation sequencing on the merits of each scheme according to the data until the agreement is reached, so as to obtain a first sequencing group.
Further, the method further comprises the step of carrying out homodromous processing on the second group of evaluation index data before carrying out TOPSIS analysis, constructing an index matrix A, and constructing a standardized index matrix B after carrying out vector normalization.
Specifically, the evaluation index includes three major categories, namely an economic index, a safety index and an environmental protection index, and generally, the smaller the economic index is, the better the safety index is, but the larger the safety index is, but not the absolute value is. Taking the example of constructing an index matrix with better increment as an example, performing homodromous processing on indexes x with better decrement in table 1, and because all indexes are positive numbers, the conversion formula is as follows:
then, constructing an index matrix by using the data after the homodromous:
constructing the standardized matrix includes:
to eliminate the influence of inter-index dimensions, the method is normalized by a vector mode:
constructing a standardized matrix:
s4: calculating and sequencing deviation values between the second group of evaluation indexes and ideal solutions through a TOPSIS method to obtain a second sequencing group;
further, the deviation values between the second set of evaluation indexes and the ideal solution are calculated and ranked by TOPSIS method, including,
calculating a positive ideal solution S as the maximum value of each column in the standardized index matrix B:
S＝(max{y 11 ,y 21 ,…,y m1 },max{y 12 ,y 22 ,…,y m2 },x,max{y 1n ,y 2n ,…,y mn })＝(s 1 ,s 2 ,…,s n )
calculating a negative ideal solution S' as the minimum value of each column in the standardized index matrix B:
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 )
further, the distance between each evaluation index and the positive ideal solution is calculated:
wherein: i=1, 2, …, m; l (L) i Distance from the ith target to the ideal solution S; s is(s) j Is the optimal value of the j index in the ideal solution S; y is ij Is an evaluated index in a standardized matrix; l (L) i The smaller the value, the closer the object being evaluated is to the ideal solution;
calculating the distance between each evaluation target and the negative ideal solution:
wherein: i=1, 2, …, m; l's' i Is the distance, S 'between the ith target and the negative ideal solution, S' j Is the worst value, y, of the j-th index in the negative ideal solution S ij For evaluating fingers in a standardized matrixMarking; l's' i The smaller the value, the closer the evaluated index is to the negative ideal solution.
Calculating the deviation value d of each evaluation index and the ideal solution i ；
Specifically, the method is expressed as follows:
according to the deviation value d i And arranging schemes corresponding to the evaluation indexes.
S5: and determining two groups of sorting weights, scoring the two groups of sorting according to the weights respectively, and determining the final sorting.
Further, two sets of ranking weights are determined, the two sets of rankings are scored according to the weights, respectively, a final ranking is determined, including,
there are m coal blending schemes, calculated as the m 1 st score, the (m-1) 2 nd score … m 1 st score, expressed as:
p i ＝m+1-i
p′ i ＝m+1-i
wherein: i=1, 2, …, m; p is p i Representing the score obtained by the first ordered set of the ith name; p's' i Representing the score obtained by the ith name of the second ordered set;
P＝αp i +(1-α)p′ i
wherein: p is the total score of the comprehensive evaluation; alpha represents the weight allocation for the first set of ranking scores, alpha e (0, 1).
Preferably, the two weights can respectively take 0.5, and the specific value of alpha can be adjusted according to actual conditions; the higher the score, the better the evaluation target.
The above is a schematic scheme of the comprehensive evaluation method for the blending and burning effects of the coal in this embodiment. It should be noted that, the technical solution of the system for managing vehicle-mounted event data and the technical solution of the above-mentioned comprehensive evaluation method for blending coal and burning effect belong to the same conception, and details of the technical solution of the pushing system for managing vehicle-mounted event data in this embodiment, which are not described in detail, can be referred to the description of the technical solution of the above-mentioned comprehensive evaluation method for blending coal and burning effect.
The comprehensive evaluation system for the blending coal blending combustion effect in the embodiment comprises:
the screening module is used for screening out a first group of evaluation indexes according to the coal quality characteristics and the combustion characteristics;
the correlation analysis module is used for determining a second group of evaluation indexes from the first group of evaluation indexes through correlation analysis;
the first ordering module is used for ordering the second group of evaluation indexes through a Delphi method to obtain a first ordering group;
the second sorting module is used for calculating and sorting deviation values between a second group of evaluation indexes and ideal solutions through a TOPSIS method to obtain a second sorting group;
and the comprehensive scoring module is used for determining two groups of sequencing weights, scoring the two groups of sequencing weights according to the weights respectively, and determining the final sequencing.
The present embodiment also provides a computing device adapted to be used for managing a case of in-vehicle event data, including:
a memory and a processor; the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions to realize the comprehensive evaluation method for the blending coal burning effect according to the embodiment.
The present embodiment also provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the method for implementing the comprehensive evaluation of the blending combustion effect of coal as set forth in the above embodiment.
The storage medium proposed in the present embodiment belongs to the same inventive concept as the method for implementing comprehensive evaluation of blending and burning effects of coal blending proposed in the above embodiment, and technical details not described in detail in the present embodiment can be seen in the above embodiment, and the present embodiment has the same beneficial effects as the above embodiment.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., including several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to execute the method of the embodiments of the present invention.
Example 2
Referring to tables 3-9 and fig. 2, for one embodiment of the present invention, a comprehensive evaluation method for blending coal and burning effect is provided, and an application scenario is provided to verify feasibility and beneficial effects.
The indexes are main steam pressure, main steam temperature, boiler heat efficiency, power supply coal consumption, smoke exhaust temperature, hearth outlet oxygen amount, plant power consumption and NO x And (5) discharging and smoke concentration.
The evaluation index types of the scheme of the evaluation system include: including very large scale, very small scale, interval scale. 1-9 are main steam pressure, main steam temperature, boiler heat efficiency, power supply coal consumption, smoke exhaust temperature, hearth outlet oxygen amount, station service power rate and NO x And (5) discharging and smoke concentration. As shown in table 3.
TABLE 3 index types
The evaluation system is shown in FIG. 2.
Summary of data for the coal blending protocol. There are m coal blending schemes, each coal blending scheme has n indexes l 1 ,l 2 ,…,l n The evaluation is shown in table 4.
Table 4 evaluation index data of coal blending scheme
And counting and summarizing initial evaluation results, wherein the initial evaluation results are in an unnamed mode, and only the number of times of obtaining the ranking is reflected. Assuming 6 experts, the ranking is shown in Table 5. The weight of each row and each column in the table is 6.
Table 5 delphi scheme ranking
And the expert performs reevaluation sequencing on the merits of each scheme according to the data, so as to agree.
The final ranking was as follows: scheme D > scheme C > scheme a > scheme B > scheme E.
Since the evaluation index includes three major categories of economic index, safety index and environmental protection index, the smaller the economic index is, the better the economic index is, and the larger the safety index is, but not absolute. The construction of an increasingly better index matrix is taken as an example here. Therefore, to perform the homodromous processing on the index x with better decremental in table 3, the index matrix a is constructed by using the data after the homodromous processing, as shown in table 6.
TABLE 6 homodromous index matrix data
Building a standardized matrix B:
table 7 normalized matrix data
The index matrix constructed by the ideal solution is as follows:
S＝(0.3519,0.3215,0.3240,0.2805,0.1414,0.0915,0.1143,0.0297,0.0592)
the negative ideal solution index matrix is as follows:
S′＝(0.5066,0.4723,0.5403,0.5025,0.6055,0.7075,0.6983,0.8271,0.8043)
calculating the deviation d of each evaluation target from the ideal solution i The results are shown in Table 8.
TABLE 8 index and ideal solution bias data
The ranking of the deviations of each evaluation target from the ideal solution includes:
according to d i Value, ranking the evaluation targets from large to small, d i The larger the value, the better the target. The ordering is as follows:
scheme a > scheme D > scheme C > scheme B > scheme E.
Summarizing according to subjective and objective ranks, the final ranks are shown in table 9:
table 9 summary of subjective and objective rankings for different coal blending schemes
Final ranking was performed by subjective and objective weight calculation as follows:
scheme D > scheme C > scheme a > scheme B > scheme E.
The invention combines the problems in the field of the coal blending scheme with the coal blending scheme evaluation model, solves the problem that the evaluation of the coal blending scheme of the power plant is too dependent on the experience of workers, effectively establishes the relation between the unit operation parameters and the coal blending scheme, and can well quantitatively optimize the coal blending model. Subjective evaluation is performed by adopting a Delphi method to meet complex and changeable combustion conditions, objective evaluation is performed by adopting a TOPSIS method to meet actual requirements, and a coal blending and burning effect evaluation system is constructed by combining the two methods.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made thereto without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered by the scope of the claims of the present invention.
Claims (10)
1. The comprehensive evaluation method for the blending combustion effect of the coal is characterized by comprising the following steps of:
screening out a first group of evaluation indexes according to the coal quality characteristics and the combustion characteristics;
determining a second set of evaluation indexes by correlation analysis on the first set of evaluation indexes;
sorting the second group of evaluation indexes by a Delphi method to obtain a first sorting group;
calculating and sequencing deviation values between the second group of evaluation indexes and ideal solutions through a TOPSIS method to obtain a second sequencing group;
and determining two groups of sorting weights, scoring the two groups of sorting according to the weights respectively, and determining the final sorting.
2. The method for comprehensively evaluating the blending combustion effect of the coal according to claim 1, wherein,
the first set of evaluation indicators includes safety, economy and environmental protection indicators, including in particular,
hearth negative pressure, flame intensity, main steam temperature, reheat steam temperature, boiler load, heat efficiency, smoke exhaust heat loss, heat dissipation loss, station service power, heating value, sulfur content, ash melting point, volatile matter and moisture.
3. The method for comprehensively evaluating the blending combustion effect of the coal as claimed in claim 1 or 2, wherein the second group of evaluation indexes are ranked by a Delphi method to obtain a first ranking group, comprising,
second group of evaluation fingersThe index includes n indexes l 1 ,l 2 ,…,l n M coal blending schemes are provided, and each coal blending scheme comprises n indexes;
performing initial evaluation on the m schemes by a Delphi method to obtain initial sorting;
and carrying out consistency review on the preliminary ranking to obtain a first ranking group.
4. The method for comprehensively evaluating the blending combustion effect of the coal as claimed in claim 3, further comprising the steps of carrying out homodromous processing on the second group of evaluation index data before carrying out TOPSIS method analysis, constructing an index matrix A, and constructing a standardized index matrix B after normalizing in a vector mode.
5. The method for comprehensively evaluating the blending combustion effect of coal according to claim 4, wherein the deviation value between the second group of evaluation indexes and the ideal solution is calculated and ranked by a TOPSIS method, comprising,
calculating a positive ideal solution S as the maximum value of each column in the standardized index matrix B:
S＝(max{y 11 ,y 21 ,…,y m1 },max{y 12 ,y 22 ,…,y m2 },…,max{y 1n ,y 2n ,…,y mn })＝(s 1 ,s 2 ,…,s n )
calculating a negative ideal solution S' as the minimum value of each column in the standardized index matrix B:
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 )
6. the method for comprehensively evaluating the blending combustion effect of coal as claimed in claim 5, further comprising the step of calculating the distance between each evaluation index and the positive ideal solution:
wherein: i=1, 2, …, m; l (L) i Distance from the ith target to the ideal solution S; s is(s) j Is the optimal value of the j index in the ideal solution S; y is ij Is an evaluated index in a standardized matrix; l (L) i The smaller the value, the closer the object being evaluated is to the ideal solution;
calculating the distance between each evaluation target and the negative ideal solution:
wherein: i=1, 2, …, m; l's' i Is the distance, S 'between the ith target and the negative ideal solution, S' j Is the worst value, y, of the j-th index in the negative ideal solution S ij Is an evaluated index in a standardized matrix;
calculating the deviation value d of each evaluation index and the ideal solution i ；
According to the deviation value d i And arranging schemes corresponding to the evaluation indexes.
7. The method for comprehensively evaluating the blending combustion effect of the coal as claimed in any one of claims 4 to 6, wherein two sets of ordering weights are determined, the two sets of ordering weights are respectively scored according to the weights, and final ordering is determined, including,
there are m coal blending schemes, calculated as the m 1 st score, the (m-1) 2 nd score … m 1 st score, expressed as:
p i ＝m+1-i
p′ i ＝m+1-i
wherein: i=1, 2, …, m; p is p i Representing the score obtained by the first ordered set of the ith name; p's' i Representing the score obtained by the ith name of the second ordered set;
P＝αp i +(1-α)p′ i
wherein: p is the total score of the comprehensive evaluation; alpha represents the weight allocation for the first set of ranking scores, alpha e (0, 1).
8. A system for managing vehicle event data, comprising,
the screening module is used for screening out a first group of evaluation indexes according to the coal quality characteristics and the combustion characteristics;
the correlation analysis module is used for determining a second group of evaluation indexes from the first group of evaluation indexes through correlation analysis;
the first ordering module is used for ordering the second group of evaluation indexes through a Delphi method to obtain a first ordering group;
the second sorting module is used for calculating and sorting deviation values between a second group of evaluation indexes and ideal solutions through a TOPSIS method to obtain a second sorting group;
and the comprehensive scoring module is used for determining two groups of sequencing weights, scoring the two groups of sequencing weights according to the weights respectively, and determining the final sequencing.
9. An electronic device, comprising:
a memory and a processor;
the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions, and the computer executable instructions realize the steps of the coal blending combustion effect comprehensive evaluation method according to any one of claims 1 to 7 when being executed by the processor.
10. A computer-readable storage medium storing computer-executable instructions which, when executed by a processor, implement the steps of the coal blending combustion effect comprehensive evaluation method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310930195.9A CN117408414A (en) | 2023-07-27 | 2023-07-27 | Comprehensive evaluation method and system for blending coal burning effect |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310930195.9A CN117408414A (en) | 2023-07-27 | 2023-07-27 | Comprehensive evaluation method and system for blending coal burning effect |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117408414A true CN117408414A (en) | 2024-01-16 |
Family
ID=89496866
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310930195.9A Pending CN117408414A (en) | 2023-07-27 | 2023-07-27 | Comprehensive evaluation method and system for blending coal burning effect |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117408414A (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111311023A (en) * | 2020-03-13 | 2020-06-19 | 华润电力技术研究院有限公司 | Coal blending and blending combustion method, device, equipment and computer readable storage medium |
| CN112330179A (en) * | 2020-11-17 | 2021-02-05 | 华能国际电力股份有限公司上海石洞口第二电厂 | Fuzzy comprehensive evaluation method for coal blending combustion based on improved entropy weight method |
-
2023
- 2023-07-27 CN CN202310930195.9A patent/CN117408414A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111311023A (en) * | 2020-03-13 | 2020-06-19 | 华润电力技术研究院有限公司 | Coal blending and blending combustion method, device, equipment and computer readable storage medium |
| CN112330179A (en) * | 2020-11-17 | 2021-02-05 | 华能国际电力股份有限公司上海石洞口第二电厂 | Fuzzy comprehensive evaluation method for coal blending combustion based on improved entropy weight method |
Non-Patent Citations (2)
| Title |
|---|
| 孙国超;鄢晓忠;陈冬林;: "TOPSIS法在优选电厂配煤比中的应用", 洁净煤技术, no. 03, 15 April 2008 (2008-04-15), pages 66 - 69 * |
| 张杨悦等: ""基于改进TOPSIS法的火电厂混煤掺烧方案选择"", 《山东电力技术》, vol. 46, no. 5, 31 December 2019 (2019-12-31), pages 44 - 47 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Nieto-Morote et al. | A fuzzy AHP multi-criteria decision-making approach applied to combined cooling, heating, and power production systems | |
| CN110428168A (en) | It is a kind of meter and energy storage multiple-energy-source distribution system coordinated scheduling integrated evaluating method | |
| CN112330179B (en) | Fuzzy comprehensive evaluation method for coal blending combustion based on improved entropy weight method | |
| CN112766809A (en) | Evaluation method of comprehensive energy system | |
| CN112446630A (en) | Method and system for evaluating technical economy of school comprehensive energy system | |
| CN114971230A (en) | Coal blending combustion effect evaluation method based on combined weighted-improved TOPSIS method | |
| CN112149980A (en) | Energy efficiency analysis method and system for regional comprehensive energy system | |
| CN113887827A (en) | Coal blending combustion optimization decision method based on real-time carbon emission monitoring of thermal power generating unit | |
| CN116611610A (en) | Park comprehensive energy system scheduling evaluation method considering multi-attribute group decision | |
| Cao et al. | Path optimization of open collaborative innovation of energy industry in urban agglomeration based on particle swarm optimization algorithm | |
| CN114742268A (en) | Comprehensive energy system optimization and planning method considering equipment variable working condition characteristics | |
| CN111553608A (en) | Benefit evaluation method for urban distribution network comprehensive energy system | |
| Xu et al. | A novel online combustion optimization method for boiler combining dynamic modeling, multi-objective optimization and improved case-based reasoning | |
| CN111625770A (en) | Energy efficiency evaluation method and system for power distribution network with distributed power supply | |
| Ji et al. | A multi-criteria decision-making framework for distributed generation projects investment considering the risk of electricity market trading | |
| CN117408414A (en) | Comprehensive evaluation method and system for blending coal burning effect | |
| Shimray et al. | A survey of multi-criteria decision making technique used in renewable energy planning | |
| CN116957391A (en) | Multi-dimensional evaluation method and system for comprehensive energy operation and maintenance | |
| CN110991870A (en) | Intensive characteristic comprehensive energy system data processing and calculating method | |
| Chen et al. | Multi-objective economic emission dispatch of thermal power plants based on grey relational analysis and analytic hierarchy process | |
| CN116050858A (en) | Comprehensive energy service success evaluation method based on normal cloud model and application thereof | |
| CN113780686A (en) | Distributed power supply-oriented virtual power plant operation scheme optimization method | |
| CN112633762A (en) | Building energy efficiency obtaining method and equipment | |
| CN114240643A (en) | Multi-microgrid coordinated transaction oriented multi-party co-treatment decision method | |
| CN113297725A (en) | Regional comprehensive energy system energy efficiency assessment method based on improved EWM method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |