CN114862267A - Evaluation method and system of oil and gas pipeline alarm management system - Google Patents
Evaluation method and system of oil and gas pipeline alarm management system Download PDFInfo
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Abstract
The invention provides an evaluation method and system of an alarm management system of a gas transmission pipeline, relating to the technical field of long-distance gas transmission pipeline industry, wherein the method comprises the following steps: the method comprises the steps of constructing alarm management evaluation indexes to obtain an evaluation data set, obtaining importance degree parameters of all indexes through grey correlation analysis, establishing a structural analysis model, judging total sorting weight of all alarm management evaluation indexes, setting an alarm management comprehensive evaluation set, obtaining membership degree relations through the importance degree parameters and the total sorting weight, and determining the evaluation level of an alarm management system. The technical problem that the use condition and the management problem of the oil and gas pipeline alarm management system cannot be objectively checked, so that the oil and gas pipeline alarm management system is difficult to scientifically and effectively evaluate is solved, the use information and the management problem of the oil and gas pipeline alarm management system are objectively analyzed and checked, the alarm management information is fully used to participate in the evaluation of the alarm management system, and the technical effect of the oil and gas pipeline alarm management system is scientifically and effectively evaluated.
Description
Technical Field
The invention relates to the technical field of long-distance oil and gas pipeline industry, in particular to an evaluation method and system of an oil and gas pipeline alarm management system.
Background
In order to create high-level oil and gas pipeline operation enterprises, each oil and gas pipeline company starts to gradually implement a regional management mode, in order to realize a production operation mode of 'centralized monitoring, centralized control and centralized maintenance', and a regulation and control center such as national regulation, corridor regulation, sink regulation and the like is mainly responsible for the centralized control of pipelines and the centralized monitoring of important alarm information, a branch company dispatching room is responsible for the monitoring of the alarm information of each operation area, and informs operation area personnel of performing on-site treatment work according to the alarm information, and the operation area personnel are mainly responsible for the maintenance of station equipment and facilities and are not responsible for the management of the station control room alarm information. Therefore, higher requirements are provided for the reliability of alarm management of the SCADA and SIS systems, scientific evaluation is carried out on the alarm management system of the oil and gas pipeline, the rationality effectiveness evaluation result is obtained, and the method is a problem that regional management and unmanned station management are carried out in the oil and gas pipeline industry at present and needs to be explored and solved urgently.
At the present stage, the use condition and the management problem of an oil and gas pipeline alarm management system in the oil and gas pipeline industry cannot be objectively checked, so that the technical problem that the alarm management system of the oil and gas pipeline is difficult to scientifically and effectively evaluate is solved.
Disclosure of Invention
The application provides the evaluation method and the evaluation system for the oil and gas pipeline alarm management system, so that the technical problems that the use condition and the management problem of the oil and gas pipeline alarm management system cannot be objectively checked, the oil and gas pipeline alarm management system is difficult to scientifically and effectively evaluate are solved, the use information and the management problem of the oil and gas pipeline alarm management system are objectively analyzed and checked, the alarm management information is fully used to participate in the evaluation of the alarm management system, and the technical effect of the oil and gas pipeline alarm management system is scientifically and effectively evaluated.
In view of the above problems, the present application provides an evaluation method and system for an alarm management system of a gas transmission pipeline.
In a first aspect, the present application provides an evaluation method for an alarm management system of a gas transmission pipeline, wherein the method includes: constructing an alarm management evaluation index, and acquiring evaluation data of the alarm management evaluation index to obtain an evaluation data set; performing grey correlation analysis on each alarm management evaluation index in the evaluation data set, and obtaining an importance degree parameter of each index of the alarm management evaluation indexes according to an analysis result; establishing a structural analysis model of alarm management, and calculating the total sequencing weight of each alarm management evaluation index of the evaluation data set according to a judgment matrix in the structural analysis model; and setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining the membership relation of comprehensive evaluation levels through the importance degree parameters and the total sorting weight, and determining the evaluation level of an alarm management system.
In a second aspect, the present application provides an evaluation system of a fuel delivery pipeline alarm management system, wherein the system includes: the evaluation index construction unit is used for constructing an alarm management evaluation index and acquiring evaluation data of the alarm management evaluation index to obtain an evaluation data set; the correlation analysis unit is used for performing grey correlation analysis on each alarm management evaluation index in the evaluation data set and obtaining an importance degree parameter of each index of the alarm management evaluation indexes according to an analysis result; the model establishing and analyzing and judging unit is used for establishing a structural analysis model of alarm management and calculating the total sequencing weight of each alarm management evaluation index of the evaluation data set according to a judgment matrix in the structural analysis model; and the evaluation grade determining unit is used for setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining the membership degree relation of the comprehensive evaluation grade through the importance degree parameter and the total sorting weight, and determining the evaluation grade of an alarm management system.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method comprises the steps of constructing alarm management evaluation indexes, collecting evaluation data to obtain an evaluation data set, carrying out grey correlation analysis on each alarm management evaluation index, obtaining importance degree parameters of each index according to analysis results, establishing a structural analysis model, calculating the total sorting weight of each alarm management evaluation index of the evaluation data set by a judgment matrix, setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining the membership degree relation of comprehensive evaluation levels according to the importance degree parameters and the total sorting weight, and determining the evaluation level of an alarm management system. The embodiment of the application achieves the technical effects of objectively analyzing and troubleshooting use information and management problems of the oil and gas pipeline alarm management system, fully using the alarm management information to participate in evaluation of the alarm management system, and scientifically and effectively evaluating the alarm management system of the oil and gas pipeline.
Drawings
FIG. 1 is a schematic flow chart of an evaluation method of an alarm management system for a gas pipeline according to the present application;
FIG. 2 is a schematic flow chart of a method for evaluating an alarm management system of a gas transmission and transmission pipeline according to the present application to obtain a total ranking weight of each alarm management evaluation index;
fig. 3 is a schematic structural diagram of an evaluation system of the oil and gas pipeline alarm management system according to the present application.
Description of reference numerals: an evaluation index constructing unit 11, an association analyzing unit 12, a model establishing and analyzing judging unit 13, and an evaluation level determining unit 14.
Detailed Description
The application provides the evaluation method and the evaluation system for the oil and gas pipeline alarm management system, so that the technical problems that the use condition and the management problem of the oil and gas pipeline alarm management system cannot be objectively checked, the oil and gas pipeline alarm management system is difficult to scientifically and effectively evaluate are solved, the use information and the management problem of the oil and gas pipeline alarm management system are objectively analyzed and checked, the alarm management information is fully used to participate in the evaluation of the alarm management system, and the technical effect of the oil and gas pipeline alarm management system is scientifically and effectively evaluated.
Example one
As shown in fig. 1, the present application provides an evaluation method of a gas transmission pipeline alarm management system, wherein the method includes:
s100: constructing an alarm management evaluation index, and acquiring evaluation data of the alarm management evaluation index to obtain an evaluation data set;
specifically, the alarm management evaluation indexes include, but are not limited to, an alarm management system, an alarm system design, a human-computer interface, personnel capacity and an implementation effect of the alarm system, the determination of the five indexes of the alarm management evaluation indexes fully considers 'technical' and 'management' conditions of alarm management in the oil and gas pipeline industry, the conditions are obtained by carrying out optimization in combination with actual data, evaluation data of the alarm management evaluation indexes are collected, the evaluation data are subjected to data arrangement in combination with the types of the alarm management evaluation indexes, an evaluation data set is obtained, and data support is provided for subsequent data analysis and processing.
Further specifically, the alarm management evaluation index includes, but is not limited to, an alarm management system, an alarm system design, a human-computer interface, a personnel capacity, and an implementation effect of the alarm system, wherein the alarm management system mainly evaluates from four aspects of alarm duty definition, a duty interface, alarm change, and periodic review; the design of the alarm system is mainly evaluated from seven aspects of alarm point setting, alarm design (set value, dead zone, delay and other alarm attributes), alarm description, alarm classification, alarm grading, response program and alarm information perfection; the human-computer interface is mainly used for evaluating two aspects of alarm interface prompt (alarm state and priority) and alarm information operation logic; the personnel ability is evaluated mainly from four aspects of personnel training, personnel assessment, personnel evidence collection and personnel response; the implementation effect of the alarm system is mainly evaluated from five aspects of alarm flooding, old alarm, alarm priority division, alarm suppression and monitoring and evaluation of the alarm system.
S200: performing grey correlation analysis on each alarm management evaluation index in the evaluation data set, and obtaining an importance degree parameter of each index of the alarm management evaluation indexes according to an analysis result;
further, the step S200 further includes:
s210: setting a reference data sequence X 0 (k)＝[x 0 (1),x 0 (2),…,x 0 (n)]Where k is 1,2, …, n, constructing a comparison data sequence from the evaluation data set, X i (k)＝[x i '(1),x i '(2),…,x i '(n)]I is 1,2, …, m, where i is the number of data columns being compared;
s220: carrying out initialization processing on the comparison data column to obtain a new number column X i '＝[x i '(1),x i '(2),…,x i '(n)]，i＝1,2,…,m；
S230: sequence of differencing
S240: calculating a two-stage maximum difference
Two-stage minimum difference
S250: calculating the correlation coefficient
Wherein ρ is a resolution coefficient;
s260: calculating the degree of association
And obtaining the importance degree parameter of each index of the alarm management evaluation index according to the correlation calculation result.
Specifically, the grey correlation analysis is carried out on each evaluation index to determine the correlation degree of the evaluation index system, the importance degree parameter of each index of the alarm management evaluation index is obtained according to the correlation analysis result, the grey correlation analysis is carried out on each alarm management evaluation index in the evaluation data set, the main factors influencing the alarm management are identified, and the technical theoretical support is provided for the subsequent data analysis and processing.
Specifically, a reference data sequence and a comparison data sequence are determined, and a reference data sequence X is set 0 Reference data column X 0 (k)＝[x 0 (1),x 0 (2),…,x 0 (n)]Where k is 1,2, …, n (positive integer), a comparison data column is constructed from the evaluation data set, and the data column to be compared is X i ，X i (k)＝[x i '(1),x i '(2),…,x i '(n)]I is 1,2, …, m (positive integer), where i is the number of data columns being compared; the original data conversion is realized by adopting the initial value processing, in brief, the first number of each comparison number sequence is used for removing other numbers, the initial value processing is carried out on the comparison data sequence to obtain a new number sequence X i '＝[x i '(1),x i '(2),…,x i '(n)]Wherein i is 1,2, …, m is a positive integer, and the new sequence X is i ' is the percentage of the value at the different time instants relative to the value at the 1 st time instant; sequence of differences Δ i (k)，
Calculating a two-stage maximum difference Δ i (max ()) and the two-stage minimum difference Δ i (min ()), maximum difference of two levels
Two-stage minimum difference
Calculating a correlation coefficient xi o i (k) The correlation coefficient
Rho is a resolution coefficient used for improving the significance of the difference between the correlation coefficients, and rho belongs to (0, 1), generally, rho is 0.1-0.5, and usually rho is 0.5; calculating the degree of association ro i ，
And obtaining the importance degree parameters of each index of the alarm management evaluation index according to the correlation degree calculation result, and providing technical theoretical support for subsequent data analysis and processing.
S300: establishing a structural analysis model of alarm management, and calculating the total sequencing weight of each alarm management evaluation index of the evaluation data set according to a judgment matrix in the structural analysis model;
further, as shown in fig. 2, the step S300 further includes:
s310: determining a target layer, a criterion layer and a scheme layer according to the alarm management evaluation index;
s320: constructing a judgment matrix, and performing level single sequencing and consistency inspection according to a construction result;
further, the step S320 further includes:
s321: let n factors associated with the upper layer factor Z be x 1 ,x 2 ,x 3 ,…x n The judgment matrix of the factor n for pairwise comparison of Z is as follows:
wherein a is ij Denotes x i And x j Regarding the ratio of the influence of Z, i, j is 1,2, …, n, and for any i, j is 1,2 …, n, a is satisfied ij ≥0，a ji ＝1/a ij ，a ii ＝1。
Specifically, a structural analysis model of each level index of alarm management is established by using an analytic hierarchy process, a judgment matrix in the structural analysis model is used for carrying out level single-order consistency check, the total order of the levels is determined, the total order weight of each alarm management evaluation index of the evaluation data set is calculated, and the corresponding relation between the evaluation index and the weight is determined through the total order weight and the total order of the levels, so that the weight distribution condition of each evaluation index is determined, and data theoretical support is provided for subsequent data.
Specifically, a target layer, a criterion layer and a scheme layer are determined according to alarm management evaluation indexes; constructing a judgment matrix, and performing level single sequencing and consistency inspection according to a construction result; let n factors associated with the upper layer factor Z be x 1 ,x 2 ,x 3 ,…x n And determining a judgment matrix of pairwise comparison of the factor n and Z as follows:
wherein, a ij Denotes x i And x j Regarding the ratio of the influence of Z, i, j is 1,2, …, n (positive integer), and for any i, j is 1,2 …, n (positive integer), a is satisfied ij ≥0，a ji ＝1/a ij ，a ii ＝1。
Further, the step S321 further includes:
s321-1: let A ═ a ij ) m×n Is rightness of rankN inverse matrixes, calculating the n-th square root of the product of each row element of the judgment matrix
S321-2: the vector M is normalized to the value of M,
obtaining a characteristic vector W (W) according to the normalized calculation result 1 ,w 2 ,.....w n ) T ；
S321-3: obtaining the maximum eigenvalue of the judgment matrix
Wherein (Aw) i The ith vector which is Aw;
s321-4: and carrying out consistency check according to the maximum characteristic value to obtain the total sequencing weight of each alarm management evaluation index.
Specifically, each alarm management evaluation index is subjected to hierarchical single ordering and consistency check, and A is set as (a) ij ) m×n Is an order positive n inverse matrix, wherein, for any i, j, k is 1,2 …, n (positive integer), a is satisfied ik ×a kj ＝a ij Namely, A is a consistency matrix, the square root Mi of the product of the elements of each row of the judgment matrix is calculated,
(positive integer); the vector M is normalized to the value of M,
(positive integer), and obtaining a characteristic vector W (W) according to the normalization calculation result 1 ,w 2 ,.....w n ) T (ii) a Calculating the maximum eigenvalue lambda of the judgment matrix max ，
Wherein (Aw) i The ith vector which is Aw; carrying out consistency check according to the maximum characteristic value to obtain each alarm tubeAnd the alarm management evaluation index analysis is carried out by combining the total sorting weight of the evaluation index with the matrix operation, so that the reliability of the total sorting weight is ensured.
Further, the step S321-4 further includes:
s321-41: calculating a consistency index
S321-42: calculating to obtain the consistency ratio
Wherein, R.I. is an average random consistency index;
s321-43: and judging whether the judgment matrix meets consistency according to the consistency ratio, when the C.R. <0.1, judging that the judgment matrix meets the consistency, and calculating to obtain the total sequencing weight of each alarm management evaluation index according to the judgment matrix.
Specifically, since the decision matrix cannot be guaranteed to have complete consistency, λ is adopted max The degree of closeness with n is used as the scale of the consistency degree, the consistency test is carried out on the judgment matrix, the consistency index C.I. is calculated,
the corresponding average random consistency index R.I. is obtained by table look-up, and the consistency ratio is obtained by calculation
And judging whether the judgment matrix meets consistency according to the consistency ratio, and when the judgment matrix meets the consistency, judging the judgment matrix to be C.R.<And when the judgment matrix A is 0.1, the judgment matrix A is considered to meet the consistency, and the total sequencing weight of each alarm management evaluation index is calculated according to the judgment matrix.
Specifically, when c.r. <0.1 is not satisfied, it is considered that the determination matrix a does not have satisfactory consistency and needs to be corrected.
S330: and calculating the total sorting weight according to the hierarchical single sorting result and the consistency check result, and obtaining the total sorting weight of each alarm management evaluation index according to the calculation result.
Specifically, weight distribution is carried out on each index of an alarm management evaluation index system according to a judgment matrix A, the steps are single sorting, and the total sorting weight, namely the total sorting weight of each element of each layer to the target, is obtained according to the weight distribution result of each index.
Further specifically, after determining the relevance and weight distribution of an evaluation index system based on a grey system theory and an analytic hierarchy process, a comprehensive evaluation scoring algorithm for alarm management is as follows, wherein a is a three-level index score, and r is a three-level index weight, and then a two-level index score is B ═ Σ (a × r); β is the second-order index weight, and the first-order index is given by C ═ Σ (B × β).
S400: and setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining the membership relation of comprehensive evaluation levels through the importance degree parameters and the total sorting weight, and determining the evaluation level of an alarm management system.
Further, the step S400 further includes:
s410: setting an evaluation set of alarm management comprehensive evaluation as V ═ V (V) 1 ,v 2 ,v 3 ,v 4 ) Wherein v1, v2, v3 and v4 respectively represent an initial stage, a normative stage, a mature stage and a leading stage;
s420: constructing a single-factor evaluation fuzzy set R i ＝(r i1 ,r i2 ,r i3 ,r i4 ) Wherein r is i1 The membership degree of the ith element in the factor set to the 1 st element in the evaluation set V;
s430: constructing a fuzzy comprehensive evaluation matrix according to the single-factor evaluation fuzzy set;
s440: and obtaining the membership degree relation of the comprehensive evaluation grade through the fuzzy comprehensive evaluation matrix, and determining the evaluation grade of the alarm management system.
Specifically, a fuzzy comprehensive evaluation principle is adopted, a membership degree theory of fuzzy mathematics is based on, a membership degree relation of comprehensive evaluation grades is obtained through the importance degree parameters and the total sorting weight, and an alarm tube is determinedThe evaluation level of the theory system is set as V-V (V-V) of the evaluation set of the alarm management comprehensive evaluation 1 ,v 2 ,v 3 V4), wherein v1, v2, v3 and v4 respectively represent the initial stage, the normative stage, the mature stage and the lead stage; constructing a single-factor evaluation fuzzy set R i ＝(r i1 ,r i2 ,r i3 ,r i4 ) Wherein r is i1 The membership degree of the ith element in the factor set to the 1 st element in the evaluation set V is described as the step of understanding of the evaluation fuzzy matrix for establishing alarm management, the row and column of the matrix are specifically determined by combining data information, and m single-factor evaluation sets are used as rows to form a matrix Rm p, wherein m, p is 1,2 …, q (positive integer); constructing a fuzzy comprehensive evaluation matrix; and obtaining the membership degree relation of the comprehensive evaluation grade through the fuzzy comprehensive evaluation matrix, and determining the evaluation grade of the alarm management system.
More specifically, the membership degree relation of the comprehensive evaluation grades is obtained through the fuzzy comprehensive evaluation matrix, the evaluation grade of the alarm management system is determined, and the evaluation index weight A obtained according to the analytic hierarchy process is (a) 1 ,a 2 ,a 3 ,a 4 ) After a comprehensive evaluation model is established to determine a single-factor evaluation matrix and a factor weight vector, the fuzzy vector is changed into a fuzzy vector B on an evaluation set V through fuzzy change, namely B is equal to A i*m ·A m*n ＝(b 1 ,b 2 ,b 3 ,b 4 ) And obtaining the membership degree relation of the comprehensive evaluation grade of the alarm management evaluation.
In summary, the evaluation method and system of the oil and gas pipeline alarm management system provided by the application have the following technical effects:
the method comprises the steps of constructing alarm management evaluation indexes, collecting evaluation data to obtain an evaluation data set, carrying out grey correlation analysis on each alarm management evaluation index, obtaining importance degree parameters of each index according to analysis results, establishing a structural analysis model, calculating the total sorting weight of each alarm management evaluation index of the evaluation data set by a judgment matrix, setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining the membership degree relation of comprehensive evaluation levels according to the importance degree parameters and the total sorting weight, and determining the evaluation level of an alarm management system. The application provides the evaluation method and the evaluation system for the oil and gas pipeline alarm management system, so that the technical effects of objectively analyzing and checking the use information and the management problem of the oil and gas pipeline alarm management system, fully using the alarm management information to participate in the evaluation of the alarm management system, and scientifically and effectively evaluating the oil and gas pipeline alarm management system are achieved.
Due to the adoption of the set reference data column X 0 (k)＝[x 0 (1),x 0 (2),…,x 0 (n)]Constructing a comparison data column, X, from the evaluation data set i (k)＝[x i '(1),x i '(2),…,x i '(n)]Performing initialization processing on the comparison data sequence to obtain a new sequence X i '＝[x i '(1),x i '(2),…,x i '(n)]Sequence of difference finding
Calculating a two-stage maximum difference
Two-stage minimum difference Δ i 
Calculating the correlation coefficient
Calculating the degree of association
And obtaining the importance degree parameters of each index of the alarm management evaluation indexes according to the correlation degree calculation result. And technical theoretical support is provided for subsequent data analysis and processing.
Because the adoption of A ═ a ═ is ij ) m×n For the positive and negative matrix of order, calculate the square root of n times of the element product of each row of the judgment matrix
For vector MThe normalization is carried out, and the normalization is carried out,
obtaining a characteristic vector W (W) according to the normalized calculation result 1 ,w 2 ,.....w n ) T (ii) a Obtaining the maximum eigenvalue of the judgment matrix
And carrying out consistency check according to the maximum characteristic value to obtain the total sequencing weight of each alarm management evaluation index. Alarm management evaluation index analysis is performed by combining matrix operation, and the reliability of the total sequencing weight is guaranteed.
Example two
Based on the same inventive concept as the evaluation method of the oil and gas pipeline alarm management system in the previous embodiment, as shown in fig. 3, the present application provides an evaluation system of the oil and gas pipeline alarm management system, wherein the system comprises:
the evaluation index construction unit 11 is used for constructing an alarm management evaluation index, and acquiring evaluation data of the alarm management evaluation index to obtain an evaluation data set;
a correlation analysis unit 12, where the correlation analysis unit 12 is configured to perform gray correlation analysis on each alarm management evaluation index in the evaluation data set, and obtain an importance parameter of each index of the alarm management evaluation indexes according to an analysis result;
a model establishing and analyzing and judging unit 13, wherein the model establishing and analyzing and judging unit 13 is used for establishing a structural analysis model of alarm management, and calculating the total ranking weight of each alarm management evaluation index of the evaluation data set according to a judgment matrix in the structural analysis model;
and the evaluation level determining unit 14 is used for setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining a membership degree relation of a comprehensive evaluation level according to the importance degree parameter and the total sorting weight, and determining the evaluation level of an alarm management system.
Further, the system comprises:
a comparison data column construction unit for setting a reference data column X 0 (k)＝[x 0 (1),x 0 (2),…,x 0 (n)]Where k is 1,2, …, n, constructing a comparison data sequence from the evaluation data set, X i (k)＝[x i '(1),x i '(2),…,x i '(n)]I is 1,2, …, m, where i is the number of data columns being compared;
an initialization processing unit for performing initialization processing on the comparison data sequence to obtain a new sequence X i '＝[x i '(1),x i '(2),…,x i '(n)]，i＝1,2,…,m；
A difference sequence unit for a difference sequence
A data calculation unit for calculating a two-stage maximum difference
Two-stage minimum difference
A correlation calculation unit for calculating a correlation coefficient
Wherein ρ is a resolution coefficient;
a degree of association calculation unit for calculating a degree of association
And obtaining the importance degree parameter of each index of the alarm management evaluation index according to the correlation calculation result.
Further, the system comprises:
the index management evaluation unit is used for determining a target layer, a criterion layer and a scheme layer according to the alarm management evaluation index;
the matrix construction unit is used for constructing a judgment matrix and carrying out hierarchical single sequencing and consistency inspection according to a construction result;
and the weight metering unit is used for calculating the total sorting weight according to the hierarchical single sorting result and the consistency check result and obtaining the total sorting weight of each alarm management evaluation index according to the calculation result.
Further, the system comprises:
a comparison and judgment unit for setting n factors associated with the upper factor Z as x 1 ,x 2 ,x 3 ,…x n The decision matrix for pairwise comparison of factor n with respect to Z is:
wherein a is ij Denotes x i And x j Regarding the ratio of the influence of Z, i, j is 1,2, …, n, and for any i, j is 1,2 …, n, a is satisfied ij ≥0，a ji ＝1/a ij ，a ii ＝1。
Further, the system comprises:
a calculation judgment matrix unit for setting A ═ a ij ) m×n For the positive and negative matrix of order, calculate the square root of n times of the element product of each row of the judgment matrix
A normalization calculation unit for normalizing the vector M,
obtaining a characteristic vector W (W) according to the normalized calculation result 1 ,w 2 ,.....w n ) T ；
A eigenvalue calculation unit for obtaining the maximum eigenvalue of the judgment matrix
Wherein (Aw) i The ith vector which is Aw;
and the checking and index sorting unit is used for carrying out consistency checking according to the maximum characteristic value to obtain the total sorting weight of each alarm management evaluation index.
Further, the system comprises:
a consistency index calculation unit for calculating a consistency index
A ratio calculation unit for calculating a ratio of obtaining the consistency
Wherein, R.I. is an average random consistency index;
and the judging and calculating unit is used for judging whether the judging matrix meets consistency according to the consistency ratio, when the C.R. <0.1, the judging matrix is considered to meet the consistency, and at the moment, the total sorting weight of each alarm management evaluation index is calculated according to the judging matrix.
Further, the system comprises:
an evaluation set setting unit for setting an evaluation set of the alarm management integrated evaluation as V ═ V (V ═ V) 1 ,v 2 ,v 3 ,v 4 ) Wherein v1, v2, v3 and v4 respectively represent an initial stage, a normative stage, a mature stage and a leading stage;
a set construction unit for constructing a one-factor evaluation fuzzy set R i ＝(r i1 ,r i2 ,r i3 ,r i4 ) Wherein r is i1 The membership degree of the ith element in the factor set to the 1 st element in the evaluation set V;
the construction and analysis unit is used for constructing a fuzzy comprehensive evaluation matrix according to the single-factor evaluation fuzzy set;
and the evaluation grade determining unit is used for obtaining the membership degree relation of the comprehensive evaluation grade through the fuzzy comprehensive evaluation matrix and determining the evaluation grade of the alarm management system.
The specification and drawings are merely exemplary of the application and various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Such modifications and variations of the present application are within the scope of the claims of the present application and their equivalents, and the present application is intended to include such modifications and variations.
Claims (8)
1. An evaluation method of an alarm management system of a petroleum pipeline is characterized by comprising the following steps:
constructing an alarm management evaluation index, and acquiring evaluation data of the alarm management evaluation index to obtain an evaluation data set;
performing grey correlation analysis on each alarm management evaluation index in the evaluation data set, and obtaining an importance degree parameter of each index of the alarm management evaluation indexes according to an analysis result;
establishing a structural analysis model of alarm management, and calculating the total sequencing weight of each alarm management evaluation index of the evaluation data set according to a judgment matrix in the structural analysis model;
and setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining the membership relation of comprehensive evaluation levels through the importance degree parameters and the total sorting weight, and determining the evaluation level of an alarm management system.
2. The method of claim 1, wherein the method further comprises:
setting a reference data sequence X 0 (k)＝[x 0 (1),x 0 (2),…,x 0 (n)]Where k is 1,2, …, n, constructing a comparison data sequence from the evaluation data set, X i (k)＝[x i '(1),x i '(2),…,x i '(n)]I is 1,2, …, m, where i is the number of data columns being compared;
carrying out initialization processing on the comparison data column to obtain a new number column X i '＝[x i '(1),x i '(2),…,x i '(n)]，i＝1,2,…,m；
Sequence of differencing
Calculating a two-stage maximum difference
Two-stage minimum difference
Calculating the correlation coefficient
Wherein ρ is a resolution coefficient;
calculating the degree of association
And obtaining the importance degree parameter of each index of the alarm management evaluation index according to the correlation calculation result.
3. The method of claim 1, wherein the method further comprises:
determining a target layer, a criterion layer and a scheme layer according to the alarm management evaluation index;
constructing a judgment matrix, and performing level single sequencing and consistency inspection according to a construction result;
and calculating the total sorting weight according to the hierarchical single sorting result and the consistency check result, and obtaining the total sorting weight of each alarm management evaluation index according to the calculation result.
4. The method of claim 3, wherein the method further comprises:
let n factors associated with the upper layer factor Z be x 1 ,x 2 ,x 3 ,…x n The decision matrix for pairwise comparison of factor n with respect to Z is:
wherein a is ij Denotes x i And x j Regarding the ratio of the influence of Z, i, j is 1,2, …, n, and for any i, j is 1,2 …, n, a is satisfied ij ≥0，a ji ＝1/a ij ，a ii ＝1。
5. The method of claim 4, wherein the method further comprises:
let A ═ a ij ) m×n For the positive and negative matrix of order, calculate the square root of n times of the element product of each row of the judgment matrix
The vector M is normalized with respect to the value,
obtaining a characteristic vector W (W) according to the normalized calculation result 1 ,w 2 ,.....w n ) T ；
Obtaining the maximum eigenvalue of the judgment matrix
Wherein (Aw) i The ith vector which is Aw;
and carrying out consistency check according to the maximum characteristic value to obtain the total sequencing weight of each alarm management evaluation index.
6. The method of claim 5, wherein the method further comprises:
calculating a consistency index
Calculating to obtain the consistency ratio
Wherein, R.I. is an average random consistency index;
and judging whether the judgment matrix meets consistency according to the consistency ratio, when the C.R. <0.1, considering that the judgment matrix meets the consistency, and calculating to obtain the total sequencing weight of each alarm management evaluation index according to the judgment matrix.
7. The method of claim 1, wherein the method further comprises:
setting an evaluation set of alarm management comprehensive evaluation as V ═ V (V) 1 ,v 2 ,v 3 ,v 4 ) Wherein v1, v2, v3 and v4 respectively represent an initial level, a specification level, a maturity level and a leading level;
constructing a single-factor evaluation fuzzy set R i ＝(r i1 ,r i2 ,r i3 ,r i4 ) Wherein r is i1 The membership degree of the ith element in the factor set to the 1 st element in the evaluation set V;
constructing a fuzzy comprehensive evaluation matrix according to the single-factor evaluation fuzzy set;
and obtaining the membership degree relation of the comprehensive evaluation grade through the fuzzy comprehensive evaluation matrix, and determining the evaluation grade of the alarm management system.
8. An evaluation system of a fuel delivery pipeline alarm management system, the system comprising:
the system comprises an evaluation index construction unit, a data acquisition unit and a data processing unit, wherein the evaluation index construction unit is used for constructing an alarm management evaluation index and acquiring evaluation data of the alarm management evaluation index to obtain an evaluation data set;
the correlation analysis unit is used for performing grey correlation analysis on each alarm management evaluation index in the evaluation data set and obtaining an importance degree parameter of each index of the alarm management evaluation indexes according to an analysis result;
the model establishing and analyzing and judging unit is used for establishing a structural analysis model of alarm management and calculating the total sequencing weight of each alarm management evaluation index of the evaluation data set according to a judgment matrix in the structural analysis model;
and the evaluation grade determining unit is used for setting an alarm management comprehensive evaluation set by adopting a fuzzy comprehensive evaluation principle, obtaining the membership degree relation of the comprehensive evaluation grade through the importance degree parameter and the total sorting weight, and determining the evaluation grade of an alarm management system.
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