CN111815085B - Method for realizing comprehensive energy efficiency evaluation of rail transit energy management system - Google Patents

Method for realizing comprehensive energy efficiency evaluation of rail transit energy management system Download PDF

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CN111815085B
CN111815085B CN201910289294.7A CN201910289294A CN111815085B CN 111815085 B CN111815085 B CN 111815085B CN 201910289294 A CN201910289294 A CN 201910289294A CN 111815085 B CN111815085 B CN 111815085B
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解凯
张伟
张长开
张志学
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NR Electric Co Ltd
NR Engineering Co Ltd
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Abstract

The invention discloses a method for realizing comprehensive energy efficiency evaluation of a rail transit energy management system, which comprises the following steps: analyzing the operation characteristics and energy consumption composition of the rail transit, and performing type division on the line stations; establishing a comprehensive energy efficiency evaluation index system of the four-level rail transit energy management system; constructing a target judgment matrix based on an analytic hierarchy process and fuzzifying, and calculating a coefficient of a system layer evaluation index relative to a target layer and a coefficient of a subentry layer evaluation index relative to a system layer; based on the historical statistical data of the rail transit energy management system, calculating the evaluation index value of the basic layer of each station of the line by adopting an improved standardization method; calculating the coefficient of the evaluation index of the basic layer relative to the item layer by adopting an improved entropy method; and calculating the comprehensive energy efficiency evaluation value of the evaluation index of the target layer so as to determine the comprehensive energy efficiency sequence of each station. The method can avoid the randomness of manual judgment and insufficient data of objective analysis, and meets the engineering requirements of different types of rail transit lines.

Description

Method for realizing comprehensive energy efficiency evaluation of rail transit energy management system
Technical Field
The invention relates to a method for realizing comprehensive energy efficiency evaluation of a rail transit energy management system.
Background
At present, with the development of the rail transit industry and the coming of national energy-saving policies, the research on rail transit energy management is more and more emphasized, and the rail transit energy management is applied to a certain extent in a part of large cities. However, the operating environments of all stations in the line are different, the energy consumption absolute value cannot accurately judge the energy consumption condition of each station, and meanwhile, the passenger flow of the station, the equipment operating time and the environmental index change all affect the energy consumption. Therefore, a set of complete energy management and evaluation system is established, and comprehensive evaluation of the energy efficiency condition of each station has important theoretical and practical significance for promoting the construction of a rail transit energy management system and planning a new route.
The rail transit energy management is a big and wide problem, most of the existing researches only carry out evaluation and analysis on the aspect of electric energy consumption, positioning differences of different station types are not considered, influences caused by water resource use conditions, electric energy quality conditions, energy consumption equipment running time, station passenger flow differences, station environment differences and the like are rarely researched, meanwhile, a comprehensive evaluation index system of the energy management system running conditions and a comprehensive energy efficiency evaluation implementation method are lacked, a traditional standardization method is mostly adopted for basic data processing, the original data difference influences are easily ignored, objective data or subjective determination is only considered on one side during evaluation and analysis, each index coefficient determination method is not considered comprehensively enough, and the different line difference influences in different regions are not considered.
Disclosure of Invention
The invention aims to provide a method for realizing comprehensive energy efficiency evaluation of a rail transit energy management system, which integrates multiple influence factors of the rail transit energy management system, establishes a set of complete comprehensive energy efficiency evaluation index system of the rail transit energy management system, constructs a target judgment matrix through multiple rounds of difference comparison, performs fuzzification processing, determines the coefficient of a basic layer index relative to a target layer by combining an improved entropy method, keeps the basis of objective data information and flexibility, avoids the influence of insufficient objective information and subjective randomness, improves a traditional numerical value standardization processing method, and can reflect the mutual influence between the original data difference and each index at the same time.
In order to achieve the above purpose, the solution of the invention is:
a method for realizing comprehensive energy efficiency evaluation of a rail transit energy management system comprises the following steps:
step 1, analyzing the running characteristics and energy consumption composition of rail transit, and carrying out type division on line stations;
step 2, establishing a four-level rail transit energy management system comprehensive energy efficiency evaluation index system which is respectively a target layer, a system layer, a subentry layer and a base layer from top to bottom;
step 3, constructing a target judgment matrix based on an analytic hierarchy process;
step 4, fuzzifying the target judgment matrix, and calculating the coefficient of the system layer evaluation index relative to the target layer and the coefficient of the subentry layer evaluation index relative to the system layer;
step 5, based on the historical statistical data of the rail transit energy management system, calculating the basic layer evaluation index values of all stations of the line by adopting an improved standardization method;
step 6, calculating the coefficient of the evaluation index of the basic layer relative to the item layer by adopting an improved entropy method;
and 7, calculating a comprehensive energy efficiency evaluation value of the evaluation index of the target layer so as to determine comprehensive energy efficiency sequencing of each station.
After adopting the scheme, the invention has the following beneficial effects:
(1) the positioning differences of different types of stations and the running condition of the rail transit energy management system are fully considered, the influence of water resources, electric energy quality, energy consumption equipment running time, station passenger flow, station environment differences and the like on electric energy consumption is comprehensively analyzed, a comprehensive energy efficiency evaluation index system with four layers from top to bottom is established, and the running condition of the rail transit energy management system is more comprehensively reflected;
(2) through multiple rounds of difference comparison, a target judgment matrix is constructed, and ambiguity processing is performed, so that the reliability and flexibility of the judgment matrix are improved; the traditional entropy method is improved, so that the sensitivity to abnormal data is reduced, meanwhile, the condition that the importance of important evaluation indexes is insufficient is avoided, and the accuracy and the objectivity of index coefficients are enhanced; the evaluation indexes of the base layers are subjected to standardized processing, so that the difference of the variation degree of the evaluation indexes of the base layers in the original data can be reflected, and the mutual influence among the indexes can be effectively reflected;
(3) the fuzzy analytic hierarchy process and the objective analytic process are combined to determine the evaluation index coefficients of each layer, the influence of insufficient objective information and subjective randomness is effectively reduced, the reliability of the coefficients is guaranteed, meanwhile, the high flexibility is achieved, the engineering field requirements of different areas can be met, and the rail transit energy management system comprehensive energy efficiency evaluation sorting has high reliability and practicability.
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FIG. 1 is a flow chart of the present invention;
fig. 2 is a diagram of an integrated energy efficiency evaluation index system according to the present invention.
Detailed Description
The technical scheme and the beneficial effects of the invention are explained in detail in the following with the accompanying drawings.
As shown in fig. 1, the invention provides a method for implementing comprehensive energy efficiency evaluation of a rail transit energy management system, which comprises the following steps:
step 1, analyzing the running characteristics and energy consumption composition of rail transit, and carrying out type division on line stations;
according to the comprehensive energy efficiency system and the actual operation condition of the stations, the line stations are divided into four types, namely transfer underground stations, transfer elevated stations, common underground stations and common elevated stations.
Compared with underground station ventilation equipment, the elevated station has less ventilation equipment and low power consumption, and does not need to consider environmental indexes and energy consumption indexes of a ventilation system; the transfer station is larger than the passenger flow of a common station, and the electric energy consumption is more than that of a non-transfer station of the same type.
Step 2, establishing a four-level rail transit energy management system comprehensive energy efficiency evaluation index system, namely a target layer, a system layer, a subentry layer and a basic layer;
establishing a four-level index system according to the characteristics of the rail transit industry and the relation among all systems, wherein the highest layer is a target layer, and only one evaluation index is available, namely a comprehensive energy efficiency evaluation value; the target layer comprises six system layer evaluation indexes which are respectively power consumption, water resource consumption, power quality, equipment state, environment state and passenger flow, and the passenger flow does not contain the evaluation indexes of the subentry layer; according to the type of the electric equipment, dividing the electric energy consumption into five subentry layer evaluation indexes, wherein the five subentry layer evaluation indexes are ventilation power utilization, illumination power utilization, power utilization, special power utilization and loss variation respectively; dividing water resource consumption into two subentry layer evaluation indexes which are water for a water chiller and special water respectively; dividing the power quality into three evaluation indexes of a hierarchy of items, wherein the three evaluation indexes of the hierarchy of items are respectively voltage quality, frequency quality and waveform quality; dividing the operation of equipment into three evaluation indexes of a subentry layer, wherein the three evaluation indexes of the subentry layer are respectively ventilation equipment, lighting equipment and power equipment; dividing the environmental state into three subentry layer evaluation indexes, wherein the three subentry layer evaluation indexes are temperature, humidity and carbon dioxide concentration respectively; each item-level evaluation index comprises a plurality of specific calculation evaluation indexes, namely, the evaluation indexes of the basic level.
In the division process of the comprehensive energy efficiency evaluation index system structure, the evaluation indexes of the different item layers contained in the same system layer evaluation index or the evaluation indexes of the basic layers contained in the same evaluation index have the same attribute, the evaluation indexes of the different system layers are different, the evaluation indexes of the same attribute cannot be overlapped, and the number of the evaluation indexes of the basic layers contained in each evaluation index of the different item layers is not less than 2, as shown in fig. 2.
Step 3, constructing a target judgment matrix based on an analytic hierarchy process;
the method comprises the following steps that multiple experts in the industry respectively carry out pairwise comparison on the subentry layer evaluation indexes contained in each system layer evaluation index and all system layer evaluation indexes according to the importance degree by adopting an analytic hierarchy process under the non-interfering environment, a consistency judgment matrix is constructed, difference comparison is carried out on the judgment matrix, if the difference is large, the experts reconstruct the judgment matrix, and when the difference meets the requirement, the average value of the corresponding elements of the judgment matrix is obtained to serve as the corresponding element of a target judgment matrix A, wherein: a ═ akt)n×n，
Figure BDA0002024384470000041
And k is 1,2 … n, t is 1,2 … n, and n is the number of evaluation indexes of the hierarchy of the items belonging to the same system level evaluation index or the number of evaluation indexes of all the system levels.
When an expert constructs a judgment matrix, the scaling method shown in the table 1 is adopted, and compared with the traditional 1-9 scaling method, the method has higher order retention, consistency, uniformity and fitting performance.
TABLE 1 significance Scale of importance
Figure BDA0002024384470000042
The expert is not easy to select too many and not suitable to select too few, usually 6-10 are suitable, too few has greater subjectivity, too many is not beneficial to convergence, and the reliability of the judgment matrix is ensured through difference comparison and averaging processing of the judgment matrix.
Step 4, fuzzifying the target judgment matrix, and calculating the coefficient of the system layer evaluation index relative to the target layer and the coefficient of the subentry layer evaluation index relative to the system layer;
blurring a target decision matrix into
Figure BDA0002024384470000051
Wherein:
Figure BDA0002024384470000052
Figure BDA0002024384470000053
when the temperature is higher than the set temperature
Figure BDA0002024384470000054
When the utility model is used, the water is discharged,
Figure BDA0002024384470000055
i.e. a real number,
Figure BDA0002024384470000056
the larger the size, the higher the ambiguity, and the method can be used for custom determination within the allowable range
Figure BDA0002024384470000057
And
Figure BDA0002024384470000058
the value of (2) can be adapted to the requirements of different regions.
Real coefficient gamma of k-th evaluation index relative to the previous levelk；
Figure BDA0002024384470000059
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA00020243844700000510
Figure BDA00020243844700000511
is a matrix
Figure BDA00020243844700000512
The k-th row of elements in the unit feature vector,
Figure BDA00020243844700000513
is a matrix
Figure BDA00020243844700000514
The k-th row element in the unit feature vector,
Figure BDA00020243844700000515
is a matrix
Figure BDA00020243844700000516
The k-th line element in the unit feature vector, btIs a matrix
Figure BDA00020243844700000517
Reciprocal of the sum of the elements in column t, ctIs a matrix
Figure BDA00020243844700000518
Reciprocal of the sum of the elements of column t, dtIs a matrix
Figure BDA00020243844700000519
The reciprocal of the sum of the elements in column t.
Using varying coefficients pl、pm、puAnd the coefficient is determined by the normalized feature vector element corresponding to the index, and compared with the existing coefficient determining method, the method ensures the reliability and increases the flexibility.
Calculating the coefficient xi of the evaluation indexes of the six system layers relative to the target layer according to the methodeWherein E is 1,2 … E, E is the total number of system layer evaluation indexes, and the passenger flow coefficient is recorded as ξ; a 6-order fuzzy matrix is constructed, and E is 6; respectively calculating the coefficient phi of each evaluation index of the system layer relative to the evaluation index of the system layerrWherein R is 1,2 … R, and R is the number of the hierarchy evaluation indexes contained in the system level evaluation index; at the moment, a 5-order fuzzy matrix is constructed relative to the system layer electric energy consumption evaluation index, wherein R is 5; constructing a 2-order fuzzy matrix relative to the system layer water resource consumption evaluation index, wherein R is 2; constructing a 3-order fuzzy matrix relative to the system layer power quality evaluation index, wherein R is 3; constructing a 3-order fuzzy matrix relative to the system layer equipment state evaluation index, wherein R is 3; constructing a 3-order fuzzy matrix relative to the system layer environment state evaluation index, wherein R is 3; finally, the coefficient of all the evaluation indexes of the sub-item layers relative to the system layer is recorded as etaf，f＝1,2…F，F＝16。
Step 5, based on the historical statistical data of the rail transit energy management system, calculating the basic layer evaluation index value z of each station of the line by adopting an improved standardization methodijAnd system layer evaluation index passenger flow volume standardized value zj；
Figure BDA0002024384470000061
Wherein: mu.siEvaluating the mean, σ, of the indices for the ith base layeriEvaluating the standard deviation, x, of the index for the ith base layerimaxEvaluating the maximum value, x, of the index for the ith base layerimaxThe minimum value of the ith base layer evaluation index is delta, the delta belongs to a proportionality coefficient (0,1), i is 1,2, …, B and B are the total number of the base layer evaluation indexes, j is 1,2, …, D and D are the number of stations, and the sample is the selected line station; for negative evaluation index, the calculated normalized value z is usedijAnd converting the result into a forward evaluation index after negation.
The method eliminates the influence of dimension difference of the evaluation indexes of the base layers by adopting the evaluation index values of the base layers after standardization processing, so that the evaluation indexes of the standardized base layers have comparability, not only can reflect the difference of the variation degree of the evaluation indexes of the base layers in original data, but also can effectively reflect the mutual influence among the indexes.
The method is adopted to calculate the jth station passenger flow standardized value zj。
Step 6, calculating a coefficient omega of the evaluation index i of the base layer relative to the subentry layer by adopting an improved entropy methodi。
And (3) base layer evaluation index relativity processing:
Figure BDA0002024384470000062
the specific gravity of the ith basic layer evaluation index under the jth station is as follows:
Figure BDA0002024384470000063
entropy of the ith base layer evaluation index:
Figure BDA0002024384470000071
the coefficient alpha of the ith base layer evaluation index relative to the hierarchyiComprises the following steps:
Figure BDA0002024384470000072
calculating the coefficient omega of the evaluation index i of the base layer relative to the item layeri：
ωi＝ραi+(1-ρ)βi
Wherein:
Figure BDA0002024384470000073
ρ is a proportionality coefficient, ρ ∈ (0, 1).
The traditional entropy method is improved, the evaluation index data information of the base layer is fully utilized, the sensitivity to abnormal data is reduced, the condition that the important evaluation index is not emphasized sufficiently is avoided, and the accuracy and the objectivity of the index coefficient of the base layer are enhanced.
Step 7, calculating a comprehensive energy efficiency evaluation value of the evaluation index of the target layer so as to determine comprehensive energy efficiency sequencing of each station:
Figure BDA0002024384470000074
wherein, VjFor the comprehensive energy efficiency evaluation value of the jth station, the system layer evaluation index e comprises a sub-item layer evaluation index f, and the sub-item layer evaluation index f comprises a base layer evaluation index i.
And the rail transit energy management system automatically calculates the comprehensive energy efficiency evaluation value of each station, and performs longitudinal and transverse sequencing on the comprehensive energy efficiency of each station according to the comprehensive energy efficiency evaluation value.
The coefficient calculated by the method considers subjective ambiguity judgment and objective data information at the same time, effectively reduces the influence caused by artificial random interference and possible insufficient data information, and has higher reliability and rationality.
The larger the comprehensive energy efficiency evaluation value of the stations of the same type is, the higher the ranking is, the more reasonable and economic operation mode is, the construction of an energy management system of the stations can be effectively promoted, and a reference decision is provided for energy-saving management; by comparing comprehensive energy efficiency evaluation values of different types of stations, energy consumption influence factors can be further excavated, the rail transit energy management system is sound, and reasonable construction of new lines is facilitated.
In summary, the invention establishes a set of complete comprehensive energy efficiency assessment index system in the rail transit energy management industry, avoids one-sidedness simply based on energy consumption, improves the reliability of a target judgment matrix through multi-round difference comparison, combines objective analysis and optimized fuzzy judgment to jointly determine a coefficient, considers the fuzziness of artificial judgment on the basis of data information preservation, can avoid the randomness of the artificial judgment and the insufficient data of the objective analysis, optimizes a traditional data standardization method, and meets the engineering requirements of different types of rail transit lines.
The above embodiments are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modifications made on the basis of the technical scheme according to the technical idea of the present invention fall within the protection scope of the present invention.

Claims (5)

1. A method for realizing comprehensive energy efficiency evaluation of a rail transit energy management system is characterized by comprising the following steps:
step 1, analyzing the running characteristics and energy consumption composition of rail transit, and carrying out type division on line stations;
step 2, establishing a comprehensive energy efficiency evaluation index system of the four-layer rail transit energy management system, wherein the comprehensive energy efficiency evaluation index system is respectively a target layer, a system layer, a subentry layer and a base layer from top to bottom;
step 3, constructing a target judgment matrix based on an analytic hierarchy process;
step 4, fuzzifying the target judgment matrix, and calculating the coefficient of the system layer evaluation index relative to the target layer and the coefficient of the subentry layer evaluation index relative to the system layer;
step 5, based on the historical statistical data of the rail transit energy management system, calculating the basic layer evaluation index values of all stations of the line by adopting an improved standardization method; the concrete content is as follows:
calculating a base layer evaluation index standard value z of each stationijAnd system layer evaluation index passenger flow volume standardized value zj；
Figure FDA0003661091510000011
Wherein: mu.siEvaluating the mean, σ, of the indices for the ith base layeriEvaluating the standard deviation, x, of the index for the ith base layerimaxEvaluating the maximum value of the index, x, for the ith base layeriminEvaluating an index for an ith base layerδ is a proportionality coefficient, δ ∈ (0,1), i ═ 1,2, …, B is the total number of base layer evaluation indexes, j ═ 1,2, …, D is the number of stations, and the sample is the selected line station; for negative evaluation index, the calculated normalized value z is usedijConverting the result into a forward evaluation index after negation;
the normalized value z of the passenger flow at the jth station is calculated by adopting the methodj；
Step 6, calculating the coefficient of the evaluation index of the basic layer relative to the item layer by adopting an improved entropy method; the concrete content is as follows:
and (3) base layer evaluation index relatizing treatment:
Figure FDA0003661091510000012
the specific gravity of the ith basic layer evaluation index under the jth station is as follows:
Figure FDA0003661091510000021
entropy of the ith base layer evaluation index:
Figure FDA0003661091510000022
the coefficient alpha of the ith base layer evaluation index relative to the hierarchyiComprises the following steps:
Figure FDA0003661091510000023
calculating the coefficient omega of the evaluation index i of the base layer relative to the item layeri：
ωi＝ραi+(1-ρ)βi
Wherein:
Figure FDA0003661091510000024
rho is a proportionality coefficient, and rho belongs to (0, 1);
step 7, calculating a comprehensive energy efficiency evaluation value of the evaluation index of the target layer so as to determine comprehensive energy efficiency sequencing of each station; wherein the content of the first and second substances,
Figure FDA0003661091510000025
wherein, VjFor the comprehensive energy efficiency evaluation value of the jth station, the system layer evaluation index e comprises a sub-item layer evaluation index f, and the sub-item layer evaluation index f comprises a base layer evaluation index i;
ξethe coefficients of the six system layer evaluation indexes relative to the target layer are shown, wherein E is 1,2 … E, E is the total number of the system layer evaluation indexes, and the passenger flow coefficient is xi; etafRecording coefficients of all the evaluation indexes of the subentry layers relative to the system layer, wherein F is 1,2 … F, and F is the total number of the evaluation indexes of all the subentry layers; omegaiThe coefficient of the index i with respect to the polynomial layer is evaluated for the base layer.
2. The method for implementing the comprehensive energy efficiency assessment of the rail transit energy management system according to claim 1, wherein the specific content of the step 1 is:
according to the comprehensive energy efficiency system and the actual operation condition of the stations, the line stations are divided into four types, namely transfer underground stations, transfer elevated stations, common underground stations and common elevated stations.
3. The method for realizing the comprehensive energy efficiency assessment of the rail transit energy management system according to claim 1, wherein the specific content of the step 2 is:
the target layer has only one evaluation index, namely a comprehensive energy efficiency evaluation value; the target layer comprises six system layer evaluation indexes which are respectively electric energy consumption, water resource consumption, electric energy quality, equipment state, environment state and passenger flow, and the passenger flow does not contain the evaluation indexes of the subentry layer; according to the type of the electric equipment, the electric energy consumption is divided into five subentry layer evaluation indexes, namely ventilation electricity utilization, illumination electricity utilization, power electricity utilization, special electricity utilization and loss variation; dividing water resource consumption into two subentry layer evaluation indexes, namely water for a water chiller and special water for the water chiller; the quality of the electric energy is divided into three evaluation indexes of a hierarchy of items, namely voltage quality, frequency quality and waveform quality; dividing the equipment state into three subentry layer evaluation indexes which are respectively ventilation equipment, lighting equipment and power equipment; dividing the environmental state into three subentry layer evaluation indexes, namely temperature, humidity and carbon dioxide concentration; each item-level evaluation index comprises a plurality of specific calculation evaluation indexes, namely, the evaluation indexes of the basic level.
4. The method for implementing the comprehensive energy efficiency assessment of the rail transit energy management system according to claim 1, wherein the specific content of the step 3 is:
the method comprises the following steps that multiple experts in the industry respectively carry out pairwise comparison on the subentry layer evaluation indexes contained in each system layer evaluation index and all system layer evaluation indexes according to the importance degree by adopting an analytic hierarchy process under the non-interfering environment, a consistency judgment matrix is constructed, difference comparison is carried out on the judgment matrix, the experts reconstruct the judgment matrix when the difference is large, and when the difference meets the requirement, the average value of the corresponding elements of the judgment matrix is obtained to serve as the corresponding element of a target judgment matrix A, wherein: a ═ akt)n×n，
Figure FDA0003661091510000031
n is the number of evaluation indexes of the item layers belonging to the same system layer evaluation index or the number of evaluation indexes of all the system layers.
5. The method for realizing the comprehensive energy efficiency assessment of the rail transit energy management system according to claim 4, wherein the specific contents of the step 4 are as follows:
fuzzifying the target judgment matrix into
Figure FDA0003661091510000032
Wherein:
Figure FDA0003661091510000033
is aktIn correspondence with the lower limit of the blur number,
Figure FDA0003661091510000034
is aktIn response to the upper limit of the blur number,
Figure FDA0003661091510000035
is aktCorresponding to the value at which the probability of the blur number is the greatest,
Figure FDA0003661091510000036
real coefficient gamma of k-th evaluation index relative to the previous levelk；
Figure FDA0003661091510000041
Wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003661091510000042
Figure FDA0003661091510000043
Figure FDA0003661091510000044
is a matrix
Figure FDA0003661091510000045
The k-th row element in the unit feature vector,
Figure FDA0003661091510000046
is a matrix
Figure FDA0003661091510000047
The k-th row element in the unit feature vector,
Figure FDA0003661091510000048
is a matrix
Figure FDA0003661091510000049
Line k elements in unit feature vector, btIs a matrix
Figure FDA00036610915100000410
Reciprocal of the sum of the elements in column t, ctIs a matrix
Figure FDA00036610915100000411
Reciprocal of the sum of the elements in column t, dtIs a matrix
Figure FDA00036610915100000412
The reciprocal of the sum of the t column elements;
calculating the coefficient xi of the evaluation indexes of the six system layers relative to the target layer according to the methode(ii) a Respectively calculating the coefficient psi of each evaluation index relative to the system layerrWherein R is 1,2 … R, R is the number of the evaluation indexes of the hierarchy of the system, and finally the coefficient of all the evaluation indexes of the hierarchy of the system is recorded as ηf。
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CN102184465A (en) * 2011-04-19 2011-09-14 中国电力科学研究院 Substation energy efficiency evaluating method
CN107544253A (en) * 2017-03-17 2018-01-05 中国人民解放军91049部队 Based on the retired method of controlling security of large-scale missile equipment for improving Based on Entropy method

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CN102184465A (en) * 2011-04-19 2011-09-14 中国电力科学研究院 Substation energy efficiency evaluating method
CN107544253A (en) * 2017-03-17 2018-01-05 中国人民解放军91049部队 Based on the retired method of controlling security of large-scale missile equipment for improving Based on Entropy method

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