CN114331137B - Data processing method and device for equipment efficiency evaluation - Google Patents
Data processing method and device for equipment efficiency evaluation Download PDFInfo
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Abstract
The invention discloses a data processing method and a data processing device for equipment efficiency evaluation, wherein the data processing method comprises the following steps of: taking a digital photogrammetric system in battlefield environment security equipment as an evaluation object, analyzing the evaluation object, and determining a factor set U influencing the evaluation object; determining a comment set V influencing an evaluation object; analyzing evaluation factors of a digital photogrammetric system in battlefield environment protection equipment, determining the weight of the evaluation factors, and establishing a distribution vector A; acquiring a fuzzy comprehensive evaluation matrix R of a digital photogrammetric system in battlefield environment security equipment through each single-factor fuzzy evaluation; obtaining a high-order fuzzy comprehensive judgment result of equipment effectiveness of a digital photogrammetry system in battlefield environment protection equipment: b = a · R. The method can formalize the fuzzy information of the weapon equipment to be evaluated to a certain extent, helps a decision maker to make a more reasonable decision, and has the advantages of simple model and good evaluation effect on multi-factor and multi-level complex problems.
Description
Technical Field
The invention belongs to the technical field of equipment efficiency evaluation, and particularly relates to a data processing method and device for equipment efficiency evaluation.
Background
At present, the method adopted for evaluating the efficiency of the equipment is mainly demonstrated by experts. After a combat decision scheme of a certain task is provided, a command department calls relevant leaders and professional directional experts with certain responses, the equipment effectiveness is demonstrated on the basis of fully understanding the conditions of an evaluation scheme, an evaluation purpose and the like, and an evaluation conclusion is made. Generally speaking, the evaluation opinions are filled in a back-to-back mode, and finally, the more concentrated opinions are used as evaluation conclusions.
The method for evaluating has large qualitative components and is easily influenced by subjective factors of people, so that the fairness and the scientific degree of the evaluation result are different from person to person. The evaluation of the efficiency of the equipment, although it is not possible to fully adopt the quantitative method, if the quantitative analysis method is appropriately introduced, the above-mentioned problems can be preferably avoided.
Disclosure of Invention
The invention provides a data processing method and a data processing device for equipment efficiency evaluation, which are used for evaluating the equipment efficiency of a digital photogrammetric system in battlefield environment protection equipment. The method can formalize the fuzzy information of the weapon equipment to be evaluated to a certain extent, helps a decision maker to make a more reasonable decision, and has the advantages of simple model and good evaluation effect on multi-factor and multi-level complex problems.
The method comprises the following steps:
s1, analyzing an evaluation object of a digital photogrammetric system in battlefield environment protection equipment, and determining a factor set U and a comment set V which influence the evaluation object;
the factor set U is a first level and comprises 7 first-level factors, U 1 For data acquisition capability, U 2 For satellite data adaptation, U 3 For image positioning processing capability, U 4 Support and guarantee capability for remote sensing mapping of guided weapon, U 5 For high performance computer processing power, U 6 For comprehensive guarantee of capacity, U 7 For human-machine integration；
The first layer factors include a number of subsets;
the subset comprises a number of subset elements;
the first-level evaluation factor set of the digital photogrammetric system is U = (U) 1 ,U 2 ,U 3 ,U 4 ,U 5 ,U 6 ,U 7 )；
Data acquisition capability U 1 Comprises two subsets, a daily drawing satellite data guarantee capability U 11 Satellite data guarantee capability U of people and business 12 ，U 1 ＝{U 11 ,U 12 }；
U 11 ＝{u 1 ,u 2 ,u 3 ,u 4 ,u 5 }；
U 12 ＝{u 1 ,u 2 ,u 3 ,u 4 ,u 5 }；
Satellite data adaptability U 2 Having a subset, satellite data compatibility U 21 ，U 2 ＝{U 21 }；
U 21 ＝{u 6 ,u 7 ,u 8 ,u 9 ,u 10 }；
U 3 For image positioning processing capability, U 3 Including two subsets, no control adjustment processing capacity U 31 Sum control adjustment processing capacity U 32 ，U 3 ＝{U 31 ,U 32 }；
U 31 ＝{u 11 ,u 12 ,u 13 ,u 14 ,u 15 }；
U 32 ＝{u 11 ,u 12 ,u 13 ,u 14 ,u 15 }；
U 4 Support and guarantee capability for remote sensing mapping of guided weapon, U 4 Divided into 3 subsets, U 41 For DEM/DSM measurement capability, U 42 For DOM measurement capability, U 43 Measuring capabilities, U, for a three-dimensional scene building model 4 ＝{U 41 ,U 42 ,U 43 }；
U 41 ＝{u 16 ,u 17 ,u 18 ,u 19 }；
U 42 ＝{u 20 ,u 21 ,u 22 }；
U 43 ＝{u 23 ,u 24 }；
U 5 For high performance computer processing power, U 5 Comprising a subset, U 51 Automatic matching of computing power, U, for DEM/DSM 5 ＝{U 51 }；
U 51 ＝{u 25 ,u 26 ,u 27 ,u 28 ,u 29 }；
U 6 For comprehensive guarantee of capacity, U 6 Comprising two subsets, U 61 For system reliability, U 62 For system maintainability, U 6 ＝{U 61 ,U 62 }；
U 61 ＝{u 30 ,u 31 ,u 32 ,u 33 ,u 34 }；
U 62 ＝{u 35 ,u 36 ,u 37 ,u 38 }；
U 7 Human-machine combinability, U 7 Comprising a subset, U 71 Human-machine combinability, U 7 ＝{U 71 }；
U 71 ＝{u 39 ,u 40 ,u 41 ,u 42 ,u 43 }；
Wherein the subset element u 1 Obtaining a duration for the data; subset element u 2 Programming camera capabilities for the maneuver;
subset element u 3 Receiving and transmitting efficiency of original code stream data; subset element u 4 Data completeness;
subset element u 5 Loading a rate for the data; subset element u 6 To program photographic capabilities;
subset element u 7 Data completeness; subset element u 8 For compatibility;
subset element u 9 For accuracy; subset element u 10 Loading a rate for the data;
subset element u 11 Matching the rate for the connection point; subset element u 12 Resolving the efficiency for adjustment processing;
subset element u 13 Detecting success rate for rough detection; subset element u 14 Resolving the precision for adjustment positioning;
subset element u 15 Checking the precision for adjustment; subset element u 16 Measuring efficiency for DEM;
subset element u 17 Measuring efficiency for DSM; subset element u 18 Measuring the precision for DEM;
subset element u 19 Measuring accuracy for DSM; subset element u 20 Correcting efficiency for DOM orthographic;
subset element u 21 Inlaying precision for DOM; subset element u 22 Measuring the accuracy of the DOM;
subset element u 23 Modeling efficiency for a three-dimensional model; subset element u 24 Modeling precision for the three-dimensional model;
subset element u 25 Automatically matching efficiency for DEM; subset element u 26 Automatically matching efficiency for DSM;
subset element u 27 Is the matching success rate; subset element u 28 Automatically matching the precision for the DEM;
subset element u 29 Automatically matching precision for DSM; subset element u 30 The annual average failure times of the system software are calculated;
subset element u 31 Continuous working time of system software; subset element u 32 Continuous working time of the system workstation is obtained;
subset element u 33 The mean annual failure times of the stereo observation equipment are obtained; subset element u 34 The annual average failure times of the three-dimensional acquisition equipment are obtained;
subset element u 35 Paralyzed maintainability of system software; subset element u 36 Mean maintenance time for system software;
subset element u 37 The system workstation hardware damage maintainability; subset element u 38 For system workstation hardwareThe maintenance time is equal;
subset element u 39 The system software is friendly in interface; subset element u 40 The DEM/DSM measurement operation is carried out;
subset element u 41 Collecting operation for the three-dimensional model; subset element u 42 The three-dimensional acquisition equipment is easy to operate;
subset element u 43 The stereo observation equipment is easy to operate;
the comment set V is related to the evaluation level of the evaluation index;
s2, carrying out evaluation factor analysis on a digital photogrammetry system in the battlefield environment protection equipment, determining the weight of the evaluation factors, and establishing a distribution vector A;
s3, single-factor comprehensive evaluation, comprising the following steps: judging the factor set from the bottom layer;
obtaining a fuzzy comprehensive evaluation matrix R through fuzzy evaluation of each single factor according to the comment set;
multiplying the distribution vector by the fuzzy comprehensive evaluation matrix by B = A · R to obtain a comprehensive evaluation result of the layer;
s4, high-order fuzzy comprehensive evaluation comprises the following steps: calculating the comprehensive evaluation result of each upper layer according to the distribution vector of each layer and the fuzzy comprehensive evaluation matrix obtained by the lower layer to obtain the efficiency evaluation result of the digital photogrammetric system;
the common arithmetic operators in the high-order fuzzy comprehensive evaluation include 5 types:
①M(∧,∨)
namely:
②M(·,∨)
namely:
③
namely:
④
namely:
⑤M(·,+)
namely:
wherein->
The symbol "·" is an algebraic product,
in order to have a sum, plus is an algebraic sum, inverted V is taken to be small, and V is taken to be large; wherein, a k Is the kth factor U in the first layer k Weight of (a) ik Is the determining factor U in the second layer i K factor U of ik Weight of (b) j J-th vector, r, for second level of comprehensive evaluation kj Indicates the factor U in the evaluation of the single factor k Is rated as v j Degree of membership, v j To represent the jth rating evaluated in the set of comments V, b kj Representing U as an element in the fuzzy evaluation matrix from U to V k Is rated as v j Degree of membership.
And 5 kinds of arithmetic operators are utilized to carry out fuzzy comprehensive evaluation respectively, and the corresponding arithmetic operators are selected by combining different characteristics of the evaluation object.
The comment set V comprises:
the set of comments V takes as element the various possible results of the overall evaluation, V = (V) 1 ,v 2 ,…,v p ) P decisions characterizing the state of each factor, whereinv k K =1,2, \8230;, p indicates the kth rating of the evaluation.
A weight set a comprising:
according to the importance degree of each factor in each layer, respectively giving corresponding weight to each factor to obtain a weight set of each factor layer; weight set a of the first hierarchy = (a) 1 ,a 2 ,…,a m )，a i I =1,2, \ 8230;, m is the ith factor U in the first level i The weight of (c); weight set A of the second level i ＝(a i1 ,a i2 ,…,a in )，a ij I =1,2, \8230;, m; j =1,2, \ 8230, n is the determinant U in the second layer i J factor U of ij The weight of (c).
The single-factor fuzzy evaluation comprises the following steps:
carrying out fuzzy evaluation on each single factor to determine the membership degree of the evaluation object to the elements of the evaluation set;
establishing an evaluation element set, wherein the evaluation element set comprises L evaluation elements;
giving U the L evaluation elements i Each U in ij j =1,2, \8230nrating scale from v 1 ,v 2 ,…,v p One and only one rank, if the L-bit evaluation element evaluates U ij Is of the order v k Has L ijk Then Σ L ijk Is = L, then
Thus, it is possible to obtain:
R i ＝(r ijk ) n×p ，i＝1,2,…,m；j＝1,2,…,n；k＝1,2,…,p
r ijk expressing factor U ij Is rated as v k Degree of membership of; the single-factor evaluation matrix of the first-level comprehensive evaluation is as follows:
the first level of comprehensive evaluation vector is then
B i ＝A i ·R i ＝(b i1 ,b i2 ,…,b ip ),i＝1,2,…,m
Wherein
b ik For the first-level comprehensive evaluation vector B i Element of (1), A i ＝(a i1 ,a i2 ,…,a in ) Is a weight set of the second layer, a ij I =1,2, \8230;, m, j =1,2, \8230;, n is the determinant U in the second layer i J factor U of ij The weight of (c).
The high-order fuzzy comprehensive evaluation comprises the following steps:
each U is i Considered as an element of U, B i As its one-factor evaluation vector, a fuzzy evaluation matrix from U to V is constructed:
each U i As a part of U, some attribute of U is reflected, and a weight assignment a = (a) is given according to the importance of U 1 ,a 2 ,…,a m ) Then the second level comprehensive judgment vector is
B＝A·R＝(b 1 ,b 2 ,…,b p )
Wherein
A is a weight set of a first level, R is a fuzzy evaluation matrix from U to V, b k The kth element, a, in the second-level synthesis evaluation vector B is evaluated i Is the ith factor U in the first hierarchy i Weight of b ij For the elements in the fuzzy evaluation matrix R from U to V, p represents the evaluation level.
The invention discloses a data processing device for equipment efficiency evaluation, which comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program codes stored in the memory to execute the data processing method for equipment effectiveness evaluation disclosed by the invention.
The invention has the beneficial effects that:
the general military problem is often with great ambiguity, and the traditional method for solving the military problem with ambiguity mainly depends on knowledge, experience, wisdom and courtesy of a commander. The qualitative analysis method is difficult to objectively and quantitatively reflect the nature of the problem, so that different commanders can make different judgment decisions on the same problem, and the accuracy and the timeliness are poor. Modern war is changeable and complicated, and correct judgment is difficult to be made in real time only by military literacy and experience of a commander, so that an advanced automatic system is needed to provide a basis for decision making of the commander, and the basis of quantitative analysis is provided by the proposal of a fuzzy comprehensive evaluation theory.
A data processing method and device for evaluating equipment efficiency is a comprehensive evaluation method based on fuzzy mathematics, converts qualitative evaluation into quantitative evaluation according to the membership degree theory of the fuzzy mathematics, namely, fuzzy mathematics is used for making an overall evaluation on an object restricted by various factors, and the method has the characteristics of clear result and strong systematicness, can better solve the problems of fuzziness and difficulty in quantification and is suitable for solving various non-deterministic problems.
Drawings
FIG. 1 is a flow chart of a method for evaluating equipment performance of a data processing method and apparatus for evaluating equipment performance according to the present invention;
FIG. 2 is a diagram of the system of the present invention for evaluating the effectiveness of digital photogrammetry system.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. FIG. 1 shows the performance of an apparatus according to the present inventionFirstly, carrying out evaluation object analysis on a digital photogrammetric system in battlefield environment security equipment to determine a factor set U influencing an evaluation object; u = (U) 1 ,U 2 ,…,U m ) For the mth factor in the first level (i.e., the highest level), U is determined by the n factors in the second level, i.e., U i ＝(U i1 ,U i2 ,…,U in ) I =1,2, \ 8230;, m; then, carrying out evaluation object analysis on a digital photogrammetric system in battlefield environment protection equipment, and determining a comment set V influencing an evaluation object; then, carrying out evaluation factor analysis on a digital photogrammetry system in battlefield environment protection equipment, determining the weight of the evaluation factors, and establishing a distribution vector A; weight set a of the first hierarchy = (a) 1 ,a 2 ,…,a m )，a i I =1,2, \ 8230;, m is the ith factor U in the first level i The weight of (c). Weight set A of the second level i ＝(a i1 ,a i2 ,…,a in )，a ij (i =1,2 \ 8230;, m; j =1,2, \8230;, n) is the determinant U in the second layer i J factor U of ij The weight of (a); and carrying out single-factor comprehensive evaluation, including: and (4) judging by solely starting from one factor to determine the degree of membership of the judging object to the evaluation set element.
The method comprises the following steps:
establishing a judgment group consisting of L individuals, wherein each member gives U i Each U in ij (j =1,2, \8230;, n) rating scale from v 1 ,v 2 ,…,v p One and only one, if the L panelists rate U ij Is of the order v k Has L ijk Personal, then Σ L ijk Is = L, then
Thus, it is possible to obtain:
R i ＝(r ijk ) n×p (i＝1,2,…,m；j＝1,2,…,n；k＝1,2,…,p)
r ijk representing factor U ij Is rated as v k Degree of membership. The single-factor evaluation matrix of the first-level comprehensive evaluation is as follows:
the first level of comprehensive evaluation vector is then
B i ＝A i ·R i ＝(b i1 ,b i2 ,…,b ip ),i＝1,2,…,m
Wherein
Performing high-order fuzzy comprehensive evaluation, comprising: each U is i An element considered as U, B i As its one-factor evaluation vector, a fuzzy evaluation matrix from U to V can be constructed:
each U i As part of U, some attribute of U is reflected, and the weight assignment a = (a) may be given by their degree of importance 1 ,a 2 ,…,a m ) The second-stage comprehensive judgment vector is
B＝A·R＝(b 1 ,b 2 ,…,b p )
Wherein
FIG. 2 is a diagram of the system of the present invention for evaluating the effectiveness of digital photogrammetry system. The single factor in fig. 2 is 43 in total:
u 1 obtaining a duration for the data; u. u 2 Programming camera capabilities for the maneuver;
u 3 receiving and transmitting efficiency of original code stream data; u. of 4 Data completeness;
u 5 a data loading rate; u. of 6 To program photography capabilities;
u 7 data completeness; u. of 8 For compatibility;
u 9 for accuracy; u. of 10 Loading a rate for the data;
u 11 matching rates for the connection points; u. u 12 Resolving efficiency for adjustment processing;
u 13 the detection success rate is roughly checked; u. of 14 Resolving the precision for adjustment positioning;
u 15 checking the precision for adjustment; u. of 16 Measuring efficiency for DEM;
u 17 measuring efficiency for DSM; u. of 18 Measuring the precision for DEM;
u 19 measuring accuracy for DSM; u. u 20 Correcting efficiency for DOM orthographic;
u 21 embedding precision for DOM; u. of 22 Measuring the accuracy of the DOM;
u 23 efficiency of modeling the three-dimensional model; u. of 24 Modeling precision for the three-dimensional model;
u 25 automatically matching efficiency for DEM; u. of 26 DSM automatic matching efficiency;
u 27 is the matching success rate; u. of 28 Automatically matching the precision for the DEM;
u 29 automatically matching precision for DSM; u. of 30 The annual average failure times of the system software are calculated;
u 31 continuous working time of system software; u. of 32 Continuous working time of the system workstation is obtained;
u 33 the mean annual failure times of the stereo observation equipment are obtained; u. of 34 The annual average failure times of the three-dimensional acquisition equipment are obtained;
u 35 paralyzed maintainability of system software; u. of 36 Mean maintenance time for system software;
u 37 the system workstation hardware damage maintainability; u. of 38 For system work station to be hardAverage piece maintenance time;
u 39 the system software is friendly in interface; u. u 40 The DEM/DSM measurement operation is carried out;
u 41 collecting operation for the three-dimensional model; u. of 42 The three-dimensional acquisition equipment is easy to operate;
u 43 the stereo observation equipment is easy to operate.
The factor set U includes 7 factors, U 1 For data acquisition capability, U 2 For satellite data adaptation, U 3 For image positioning processing capability, U 4 Support and guarantee capability for remote sensing mapping of guided weapon, U 5 For high performance computer processing power, U 6 For comprehensive guarantee of capacity, U 7 Is a combination of a human body and a machine body,
obtaining a first-level evaluation factor set U = (U) 1 ,U 2 ,U 3 ,U 4 ,U 5 ,U 6 ,U 7 )；
Data acquisition capability U 1 Comprises two subsets, a daily drawing satellite data guarantee capability U 11 Data guarantee capability U of national and commercial satellite 12 ，U 1 ＝{U 11 ,U 12 }；
U 11 ＝{u 1 ,u 2 ,u 3 ,u 4 ,u 5 }；
U 12 ＝{u 1 ,u 2 ,u 3 ,u 4 ,u 5 }；
Satellite data adaptability U 2 Having a subset, satellite data compatibility U 21 ，U 2 ＝{U 21 }；
U 21 ＝{u 6 ,u 7 ,u 8 ,u 9 ,u 10 }；
U 3 For image positioning processing capability, U 3 Including two subsets, no control adjustment processing capacity U 31 And control adjustment processing capacity U 32 ，U 3 ＝{U 31 ,U 32 }；
U 31 ＝{u 11 ,u 12 ,u 13 ,u 14 ,u 15 }；
U 32 ＝{u 11 ,u 12 ,u 13 ,u 14 ,u 15 }；
U 4 Support and guarantee capability for remote sensing mapping of guided weapon U 4 Can be divided into 3 subsets, U 41 For DEM/DSM measurement capability, U 42 For DOM measurement capability, U 43 Measuring capabilities, U, for a three-dimensional scene building model 4 ＝{U 41 ,U 42 ,U 43 }；
U 41 ＝{u 16 ,u 17 ,u 18 ,u 19 }；
U 42 ＝{u 20 ,u 21 ,u 22 }；
U 43 ＝{u 23 ,u 24 }；
U 5 For high performance computer processing power, U 5 Comprising a subset, U 51 Automatic matching of computing power, U, for DEM/DSM 5 ＝{U 51 }；
U 51 ＝{u 25 ,u 26 ,u 27 ,u 28 ,u 29 }；
U 6 For comprehensive guarantee of capacity, U 6 Comprising two subsets, U 61 For system reliability, U 62 For system maintainability, U 6 ＝{U 61 ,U 62 }；
U 61 ＝{u 30 ,u 31 ,u 32 ,u 33 ,u 34 }；
U 62 ＝{u 35 ,u 36 ,u 37 ,u 38 }；
U 7 Human-machine combinability, U 7 Comprising a subset, U 71 Human-machine combinability, U 7 ＝{U 71 }；
U 71 ＝{u 39 ,u 40 ,u 41 ,u 42 ,u 43 }。
Analyzing an evaluation object of a digital photogrammetric system in battlefield environment protection equipment, and determining a comment set V influencing the evaluation object;
comment set V contains 5 classes, V = { V = 1 ,v 2 ,v 3 ,v 4 ,v 5 }，v 1 Indicates very poor, v 2 Indicates poor, v 3 Denotes general, v 4 Denotes better, v 5 Is very good; respectively assigning fixed values v for convenient calculation 1 ＝0.1，v 2 ＝0.3，v 3 ＝0.5，v 4 ＝0.7，v 5 ＝0.9。
Analyzing evaluation factors of a digital photogrammetric system in battlefield environment protection equipment, determining the weight of the evaluation factors, and establishing a distribution vector A;
first-level weight set a = (a) 1 ,a 2 ,…,a m )，a i I =1,2, \ 8230;, m is the ith factor U in the first level i The weight of (c). Weight set A of the second level i ＝(a i1 ,a i2 ,…,a in )，a ij (i =1,2 \ 8230;, m; j =1,2, \8230;, n) is the determinant U in the second layer i J factor U of ij The weight of (c);
and (3) single-factor comprehensive evaluation, comprising: and (4) judging by solely starting from one factor to determine the degree of membership of the judging object to the evaluation set element. The method comprises the following steps:
establishing a judgment group consisting of L individuals, wherein each member gives U i Each U in ij (j =1,2, \8230;, n) rating scale from v 1 ,v 2 ,…,v p One and only one, if the L panelists rate U ij Is a grade v k Has a L ijk Personal, then vL ijk Is = L, then
Thus, it is possible to obtain:
R i ＝(r ijk ) n×p (i＝1,2,…,m；j＝1,2,…,n；k＝1,2,…,p)
r ijk representing factor U ij Is commented onIs v k Degree of membership. The single-factor evaluation matrix of the first-level comprehensive evaluation is as follows:
the first level comprehensive evaluation vector is then
B i ＝A i ·R i ＝(b i1 ,b i2 ,…,b ip ),i＝1,2,…,m
Wherein
And (3) high-order fuzzy comprehensive evaluation, which comprises the following steps: each U is i Considered as an element of U, B i As its single-factor evaluation vector, a fuzzy evaluation matrix from U to V can be constructed:
each U i As part of U, some attribute of U is reflected, and the weight assignment a = (a) may be given by their degree of importance 1 ,a 2 ,…,a m ) The second-stage comprehensive judgment vector is
B＝A·R＝(b 1 ,b 2 ,…,b p )
Wherein
According to the basic algorithm, the weight value and the fuzzy value of each index of the digital photogrammetric system can be obtained through test data generated by a certain evaluation test point, and the index parameter fuzzification and weight value distribution are carried out through calculation and analysis.
And respectively calculating the fighting efficiency of data acquisition, satellite data adaptability, image positioning processing, precision guided weapon remote sensing mapping, high-performance computer computing capacity, comprehensive guarantee capacity and man-machine associativity by using a multi-order fuzzy comprehensive evaluation model.
The calculated war effectiveness evaluation value B = (0.15, 0.18,0.30,0.26, 0.11) of the digital photogrammetry system can be analyzed and concluded as follows:
max(B i ) =0.30, the operational efficiency of the digital photogrammetric system is judged as "normal" according to the maximum membership principle, but b 4 ＞b 2 It is stated that the operational level of the system has begun to advance toward a "better" level.
From the fuzzy evaluation set of the secondary indexes, the secondary indexes which belong to the better secondary indexes have image positioning processing capacity and fine guidance weapon remote sensing mapping support guarantee capacity; the secondary indexes belonging to 'general' have comprehensive guarantee capability and man-machine associativity; the secondary index belonging to "poor" has data acquisition capability and satellite data adaptability.
The above are merely exemplary embodiments of the present invention, but the scope of the present invention is not limited thereto. Any changes or substitutions that may be easily made by those skilled in the art within the technical scope of the present disclosure are intended to be included within the scope of the present disclosure. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A data processing method for equipment performance evaluation, the method comprising:
s1, analyzing an evaluation object of a digital photogrammetric system in battlefield environment protection equipment, and determining a factor set U and a comment set V which influence the evaluation object;
the factor set U is a first level and comprises 7 first-level factors, U 1 For data acquisition capability, U 2 For satellite data adaptation, U 3 For image positioning processing capability, U 4 Support and guarantee capability for remote sensing mapping of guided weapon, U 5 For high performance computer processing power, U 6 For comprehensive guarantee of capacity, U 7 The human-computer associativity is provided;
the first layer factors include a number of subsets;
the subset comprises a number of subset elements;
the first-level evaluation factor set of the digital photogrammetric system is U = (U) 1 ,U 2 ,U 3 ,U 4 ,U 5 ,U 6 ,U 7 )；
Data acquisition capability U 1 Comprises two subsets, a daily drawing satellite data guarantee capability U 11 Data guarantee capability U of national and commercial satellite 12 ，U 1 ＝{U 11 ,U 12 }；
U 11 ＝{u 1 ,u 2 ,u 3 ,u 4 ,u 5 }；
U 12 ＝{u 1 ,u 2 ,u 3 ,u 4 ,u 5 }；
Satellite data adaptability U 2 Having a subset, satellite data compatibility U 21 ，U 2 ＝{U 21 }；
U 21 ＝{u 6 ,u 7 ,u 8 ,u 9 ,u 10 }；
U 3 For image positioning processing capability, U 3 Comprising two subsets, without control adjustment processing capacity U 31 And control adjustment processing capacity U 32 ，U 3 ＝{U 31 ,U 32 }；
U 31 ＝{u 11 ,u 12 ,u 13 ,u 14 ,u 15 }；
U 32 ＝{u 11 ,u 12 ,u 13 ,u 14 ,u 15 }；
U 4 Support and guarantee capability for remote sensing mapping of guided weapon, U 4 Divided into 3 subsets, U 41 For DEM/DSM measurement capability, U 42 For DOM measurement capability, U 43 Measuring capabilities, U, for a three-dimensional scene building model 4 ＝{U 41 ,U 42 ,U 43 }；
U 41 ＝{u 16 ,u 17 ,u 18 ,u 19 }；
U 42 ＝{u 20 ,u 21 ,u 22 }；
U 43 ＝{u 23 ,u 24 }；
U 5 For high performance computer processing power, U 5 Comprising a subset, U 51 Automatic matching of computing power, U, for DEM/DSM 5 ＝{U 51 }；
U 51 ＝{u 25 ,u 26 ,u 27 ,u 28 ,u 29 }；
U 6 For comprehensive guarantee of capacity, U 6 Comprising two subsets, U 61 For system reliability, U 62 For system maintainability, U 6 ＝{U 61 ,U 62 }；
U 61 ＝{u 30 ,u 31 ,u 32 ,u 33 ,u 34 }；
U 62 ＝{u 35 ,u 36 ,u 37 ,u 38 }；
U 7 Human-machine combinability, U 7 Comprising a subset, U 71 Human-machine combinability, U 7 ＝{U 71 }；
U 71 ＝{u 39 ,u 40 ,u 41 ,u 42 ,u 43 }；
Wherein the subset element u 1 Obtaining a duration for the data; subset element u 2 Programming camera capabilities for the maneuver;
subset element u 3 Receiving and transmitting efficiency of original code stream data; subset element u 4 Data completeness;
subset element u 5 Loading a rate for the data; subset element u 6 To program photography capabilities;
subset element u 7 Data completeness; subset element u 8 For compatibility;
subset element u 9 For accuracy; subset element u 10 A data loading rate;
subset element u 11 Matching the rate for the connection point; subset element u 12 Resolving efficiency for adjustment processing;
subset element u 13 The detection success rate is roughly checked; subset element u 14 Resolving the precision for adjustment positioning;
subset element u 15 Checking the precision for adjustment; subset element u 16 Measuring efficiency for DEM;
subset element u 17 Measuring efficiency for DSM; subset element u 18 Measuring the precision for DEM;
subset element u 19 Measuring accuracy for the DSM; subset element u 20 Correcting efficiency for DOM orthographic;
subset element u 21 Embedding precision for DOM; subset element u 22 Measuring the accuracy of the DOM;
subset element u 23 Efficiency of modeling the three-dimensional model; subset element u 24 Modeling precision for the three-dimensional model;
subset element u 25 Automatically matching efficiency for DEM; subset element u 26 Automatically matching efficiency for DSM;
subset element u 27 Is the matching success rate; subset element u 28 Automatically matching the precision for the DEM;
subset element u 29 Automatically matching precision for DSM; subset element u 30 The annual average failure times of the system software are calculated;
subset element u 31 Continuous working time of system software; subset element u 32 Continuous working time of the system workstation is obtained;
subset element u 33 The mean annual failure times of the stereo observation equipment are obtained; subset element u 34 The annual average failure times of the three-dimensional acquisition equipment are obtained;
subset element u 35 Paralyzed maintainability of system software; subset element u 36 Mean maintenance time for system software;
subset element u 37 The system workstation hardware damage maintainability; subset element u 38 Mean maintenance time for system workstation hardware;
subset element u 39 The system software is friendly in interface; subset element u 40 The DEM/DSM measurement operation is carried out;
subset element u 41 Collecting and operating the three-dimensional model; subset element u 42 The three-dimensional acquisition equipment is easy to operate;
subset element u 43 The stereo observation equipment is easy to operate;
the comment set V is related to the evaluation level of the evaluation index;
s2, carrying out evaluation factor analysis on a digital photogrammetry system in the battlefield environment protection equipment, determining the weight of the evaluation factors, and establishing a distribution vector A;
s3, single-factor comprehensive judgment, comprising: judging the factor set from the bottom layer;
obtaining a fuzzy comprehensive evaluation matrix R through fuzzy evaluation of each single factor according to the comment set;
multiplying the distribution vector by a fuzzy comprehensive evaluation matrix by B = A · R to obtain a comprehensive evaluation result of the layer;
s4, high-order fuzzy comprehensive evaluation comprises the following steps: calculating the comprehensive evaluation result of each upper layer according to the distribution vector of each layer and the fuzzy comprehensive evaluation matrix obtained by the lower layer to obtain the efficiency evaluation result of the digital photogrammetric system;
the arithmetic operators commonly used in the high-order fuzzy comprehensive evaluation include 5 types:
①M(∧,∨)
namely:
②M(·,∨)
namely:
③
namely:
④
namely:
/>
⑤M(·,+)
namely:
wherein +>
The symbol "·" is an algebraic product,
the term + is the sum of the generations, the term Λ is the small term, and the term V is the large term; wherein, a k Is the kth factor U in the first layer k Weight of a ik Is the determining factor U in the second layer i K factor U of ik Weight of b j The jth vector, r, for the second level of comprehensive evaluation kj Indicates the factor U in the evaluation of the single factor k Is rated as v j Degree of membership, v j To represent the jth rating evaluated in the set of comments V, b kj Representing U as an element in the fuzzy evaluation matrix from U to V k Is rated as v j Degree of membership of;
and 5 kinds of arithmetic operators are utilized to carry out fuzzy comprehensive evaluation respectively, and the corresponding arithmetic operators are selected by combining different characteristics of the evaluation object.
2. The data processing method for equipment performance evaluation according to claim 1, wherein the comment set V includes:
the set of comments V takes as element the various possible results of the overall evaluation, V = (V) 1 ,v 2 ,…,v p ) P decisions characterizing the state of each factor, where v k K =1,2, \ 8230;, p denotes the kth rating of the evaluation.
3. The data processing method for equipment performance evaluation according to claim 1, wherein the weight set a comprises:
according to the importance degree of each factor in each layer, respectively giving corresponding weight to each factor to obtain a weight set of each factor layer; weight set a of the first hierarchy = (a) 1 ,a 2 ,…,a m )，a i I =1,2, \8230, m is the ith factor U in the first level i The weight of (a); weight set A of the second level i ＝(a i1 ,a i2 ,…,a in )，a ij I =1,2, \ 8230;, m; j =1,2, \ 8230, n is the determinant U in the second layer i J factor U of ij The weight of (c).
4. The data processing method for equipment performance evaluation according to claim 1, wherein the single-factor fuzzy evaluation comprises:
carrying out fuzzy evaluation on each single factor to determine the membership degree of the evaluation object to the evaluation set elements;
establishing an evaluation element set, wherein the evaluation element set comprises L evaluation elements;
giving U with the L evaluation elements i Each U in ij J =1,2, \ 8230n rating scale from v 1 ,v 2 ,…,v p One and only one rank, if the L-bit evaluation element evaluates U ij Is of the order v k Has L ijk Then Σ L ijk Is = L, then
Thus, it is possible to obtain:
R i ＝(r ijk ) n×p ，i＝1,2,…,m；j＝1,2,…,n；k＝1,2,…,p
r ijk expressing factor U ij Is rated as v k Degree of membership of; the single factor of the first-level comprehensive judgmentThe evaluation matrix is:
the first level comprehensive evaluation vector is then
B i ＝A i ·R i ＝(b i1 ,b i2 ,…,b ip ),i＝1,2,…,m
Wherein
b ik Evaluating vector B for the first level synthesis i Element of (1), A i ＝(a i1 ,a i2 ,…,a in ) Is a weight set of the second layer, a ij I =1,2, \8230;, m, j =1,2, \8230;, n is the determinant U in the second layer i J factor U of ij The weight of (c).
5. The data processing method for equipment performance evaluation according to claim 1, wherein the high-order fuzzy comprehensive evaluation comprises:
each U is i Considered as an element of U, B i As its one-factor evaluation vector, a fuzzy evaluation matrix from U to V is constructed:
each U i As a part of U, some attribute of U is reflected, and a weight assignment a = (a) is given according to the importance of U 1 ,a 2 ,…,a m ) The second-stage comprehensive judgment vector is
B＝A·R＝(b 1 ,b 2 ,…,b p )
Wherein
A is a weight set of a first level, R is a fuzzy evaluation matrix from U to V, b k The kth element, a, in the second-level synthesis evaluation vector B is evaluated i Is the ith factor U in the first hierarchy i Weight of b ij For the elements in the fuzzy evaluation matrix R from U to V, p represents the evaluation level.
6. A data processing apparatus for equipment performance evaluation, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the data processing method for equipment performance evaluation according to any one of claims 1 to 5.
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