Construction method and system of aviation equipment supportability benchmark comparison system based on similarity analysis

Abstract

The present application belongs to the technical field of aviation equipment supportability design analysis, and particularly relates to a method and system for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis, which comprises: S1, determining the construction requirement of the aviation equipment supportability benchmark comparison system according to the application scene of the aviation equipment supportability system to be analyzed; S2, analyzing the aviation equipment supportability system to be analyzed based on the similarity analysis method to obtain the similarity and weight of the characteristic parameters and to assemble the aviation equipment supportability benchmark comparison system; S3, verifying and analyzing the effectiveness of the aviation equipment supportability benchmark comparison system and constructing the data model of the aviation equipment supportability benchmark comparison system. The present application can determine a reasonable benchmark comparison system for aviation equipment supportability systems at different levels such as the equipment level, the system level, the device level and the support system; provide perfect reference benchmarks and data support for the support design of newly developed equipment, efficiently support the aviation equipment supportability analysis and verification, and improve the task execution capability.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of aviation equipment supportability design analysis, and particularly relates to a method and system for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis. BACKGROUND

[0002] In the flight mission of modern aviation equipment, agile, efficient and accurate support becomes the key factor to determine the success of the mission. With the increasing requirements for aviation equipment, aviation equipment is becoming more and more complex, and its performance is increasingly dependent on aviation equipment support. Supportability analysis, as a combination of a series of analysis methods for studying support problems affecting aviation equipment design and determining support resources, plays a role in connecting the past and the future in the aviation equipment development process, and is a bridge connecting aviation equipment design and support system development. However, for a long time, aviation equipment supportability analysis has generally had a series of problems such as unreasonable analysis results and disconnection with actual support needs, which has led to problems such as poor matching of support systems with main aviation equipment, insufficient compatibility with support systems, slow generation of support capabilities, and difficulty in meeting the growing needs of the mission. Through analysis, it is found that the main reasons for the above problems are as follows: first, the lack of supportability integrated analysis methods connecting mission support needs, aviation equipment supportability design and support system development has led to a disconnection between the generated support scheme and the actual support needs. Second, supportability analysis does not make full use of objective and historical data, and the knowledge level of data is not high. The value of data assets has not been fully utilized, and knowledge cannot be pushed in the supportability analysis process, which affects the effectiveness and efficiency of supportability analysis. Third, the construction requirements of the benchmark comparison system have not been fully implemented in supportability analysis, and the supportability data have not been fully utilized to improve the effectiveness of supportability analysis. Fourth, the verification of supportability analysis results lacks data and method means support, and the supportability verification is not sufficient and timely, which cannot early detect and solve supportability problems.

[0003] The aviation equipment supportability benchmark comparison system, as the combination of existing aviation equipment closest to the design, use and support characteristics of new aviation equipment, is the most important design reference for new aviation equipment in the early stage of demonstration and development. However, due to the lack of attention to the accumulation of supportability data in the past aviation equipment development and use process, the existing aviation equipment supportability benchmark comparison system is not perfect enough to provide sufficient reference and data support for the supportability design analysis of new aviation equipment. In addition, the integration of the supportability benchmark comparison system and supportability analysis is not high, which makes it impossible to fully carry out supportability analysis and verification work based on the supportability benchmark comparison system in the early stage of the demonstration and development of new aviation equipment, and to detect and solve problems in the early stage of development.

[0004] In order to solve the above-mentioned deficiencies of the prior art, it is urgent to carry out research on a determination method of an aviation equipment supportability benchmark comparison system and a data model construction method, construct a supportability benchmark comparison system and a data model in accordance with the principles of fusing supportability analysis work and fusing similar products and use data, and drive supportability analysis, drive early assessment of support capability and rapid formation of a support system. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides a method and system for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis, which can determine reasonable benchmark comparison systems for aviation equipment supportability systems at different levels such as equipment level, system level, device level and support system; provide perfect reference benchmarks and data support for support design of newly developed equipment, efficiently support aviation equipment supportability analysis and verification, and improve the mission execution capability of support systems.

[0006] To achieve the above object, the present application discloses the following technical scheme:

[0007] A method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis, comprising:

[0008] S1: determining the construction requirement of the aviation equipment supportability benchmark comparison system according to the application scenario of the aviation equipment supportability system to be analyzed;

[0009] For the supportability business of the aviation equipment supportability system to be analyzed in the whole life cycle, the application scenario of the aviation equipment supportability system to be analyzed is analyzed to determine the construction requirement of the aviation equipment supportability benchmark comparison system;

[0010] S2: analyzing the aviation equipment supportability system to be analyzed based on the similarity analysis method to obtain the similarity and weight of the characteristic parameters, and assembling the aviation equipment supportability benchmark comparison system, which specifically comprises the following sub-steps:

[0011] S21: determining the characteristic parameters of the aviation equipment supportability benchmark comparison system to be analyzed by using the analytic hierarchy process according to the construction requirement of the aviation equipment supportability benchmark comparison system in step S1, which are used to analyze the similarity between systems; the characteristic parameters include text type data characteristic parameters and numerical type data characteristic parameters;

[0012] S22: calculating the similarity of the numerical type data characteristic parameters in step S21 by using the similar element method ih ;

[0013] S23: calculating the similarity of the text type data characteristic parameters in step S21;

[0014] S24: Establish the hierarchical model of the aviation equipment supportability benchmark comparison system, construct the judgment matrix of the characteristic parameters, measure the characteristic parameters using the proportion scale method, and calculate the characteristic parameter weights of the aviation equipment supportability benchmark comparison system as follows:

[0015]

[0016] wherein U is the characteristic parameter weight of the aviation equipment supportability benchmark comparison system; U i is the i-th characteristic parameter weight of the aviation equipment supportability benchmark comparison system at the current level; U h is the h-th characteristic parameter weight of the aviation equipment supportability benchmark comparison system at the previous level; W hi is the weight of the i-th characteristic parameter of the aviation equipment supportability benchmark comparison system at the current level relative to the h-th characteristic parameter at the previous level; h is the characteristic parameter number at the previous level, h = 1, 2, …, m; i is the characteristic parameter number at the current level, i = 1, 2, …, h; and m is the dimension of the judgment matrix at the previous level;

[0017] S25: Determine the similarity of the aviation equipment supportability benchmark comparison system, calculate the similarity and weight of each characteristic parameter, determine the aviation equipment supportability benchmark comparison system with the highest similarity to the aviation equipment to be analyzed, and the similarity analysis result is as follows:

[0018]

[0019] wherein Q(A, B) is the similarity of the aviation equipment system to be analyzed and the aviation equipment supportability benchmark comparison system; r j is the similarity of the j-th characteristic parameter; a j is the weight of the j-th characteristic parameter; k is the number of characteristic parameters of the aviation equipment supportability system to be analyzed; A is the aviation equipment supportability system to be analyzed; B is the aviation equipment supportability benchmark comparison system; l is the number of characteristic parameters of the aviation equipment supportability benchmark comparison system; and n is the dimension of the judgment matrix at the current level;

[0020] S26: Assemble the aviation equipment supportability benchmark comparison system by comparing the characteristic parameters of the aviation equipment supportability system to be analyzed and the aviation equipment supportability systems in the existing database.

[0021] S3: Perform effectiveness verification analysis on the aviation equipment supportability benchmark comparison system in step S2 based on support simulation; construct the data model of the aviation equipment supportability benchmark comparison system according to the modeling methods of supportability business, conceptual data modeling, logical data modeling, and physical data modeling, and save and apply the aviation equipment supportability benchmark comparison system.

[0022] Preferably, the similarity method is used to calculate the similarity of the numerical type data characteristic parameters in step S21 in step S22, specifically:

[0023] S221: Determine the similarity element of the aviation equipment supportability system; use the similarity theory to establish a unified and quantified similarity comparison standard between the aviation equipment supportability system A to be analyzed and the aviation equipment supportability benchmark comparison system B; then the aviation equipment supportability system similarity element u(a i ,b i ) is the similarity element of the first characteristic parameter a i in the aviation equipment supportability system A to be analyzed and the second characteristic parameter b i in the aviation equipment supportability benchmark comparison system B;

[0024] S222: Quantize the aviation equipment supportability system similarity element; the characteristic elements in the aviation equipment supportability system similarity element u(a i ,b i ) are s1, s2, … s m , and S = [s1, s2, … s m ]; then u h (a i ) is the characteristic value of the first characteristic parameter a i relative to the characteristic element s h , u h (b i ) is the characteristic value of the second characteristic parameter b i relative to the characteristic element s h , and the characteristic similarity of the first characteristic parameter a i , the second characteristic parameter b i relative to the characteristic element s h is:

[0025]

[0026] Wherein, r ih is the characteristic similarity of the first characteristic parameter a i and the second characteristic parameter b i ; min is the minimum function; max is the maximum function; u h (a i ) is the characteristic value of the first characteristic parameter a i relative to the characteristic element s h ; u h (b i ) is the characteristic value of the characteristic parameter b i relative to the characteristic element s h ; a i is the first characteristic parameter; b i is the second characteristic parameter.

[0027] Preferably, the similarity of the text type data feature parameters in step S21 is calculated in step S23, specifically:

[0028] S231: For the first string s A and the second string s B of the text type data feature parameters in the aviation equipment support system, the matching window MW is calculated as:

[0029]

[0030] wherein, MW is the matching window of the text type data feature parameters; is the length of the first string s ; |s B | is the length of the second string s B ;

[0031] S232: The same characters that are relatively far away are filtered out using the matching window MW of the text type data feature parameters, and the new strings sn A and sn B are obtained after the filtering, and the length m of the strings is:

[0032] m = |sn A | = |sn B |

[0033] wherein, m is the length of the string; sn A is the string obtained after the filtering of the first string s A ; sn B is the string obtained after the filtering of the first string s B ;

[0034] sn A is converted into sn B by exchanging the characters, the number of exchanges is recorded as t s , and the number of string exchanges t is half of the number of exchanges, that is, t = t s / 2; the characters are deleted based on the first string s A and the second string s B without changing the order of the characters, and the length of the obtained character sequence that has the same length is set as the character sequence length LCS(s A , s B ) of the first string s A and the second string s B , and the similarity coefficient of the common subsequence of the first string s LCS and the second string s LCS is:

[0035]

[0036] Among them, P LCS L is the similarity coefficient of common subsequences of strings; LCS The length of the character sequence;

[0037] Then the first string s A Second string s B The similarity formula is:

[0038]

[0039] Where Sim(A,B) is the first string s A Second string s B The similarity is t; t is the number of string transpositions.

[0040] Preferably, in step S24, the judgment matrix of the feature parameters is constructed, the feature parameters are measured using the proportional scaling method, and the weights U of the feature parameters of the aviation equipment supportability benchmark comparison system are calculated, specifically as follows:

[0041] S241: Construct the judgment matrix A of the feature parameters p ; There exists K m If there are 10 criteria that need to be judged, then the k-th criterion is judged by criterion B. k (k = 1, 2, ..., K) m ) indicates that there exists K for each criterion. n If there are specific indicators that need to be analyzed, then the l-th indicator is represented by the characteristic parameter C. l (l=1,2,...,K n )express;

[0042] Establish judgment criterion B k The characteristic parameters C1, C2, ... C of the judgment criteria l Comparison judgment matrix A p In judgment criterion B k The features are sorted by relative importance, i.e., the feature parameters C1, C2, ... C are determined. l The weights; due to the judgment matrix A p If they are positively reciprocal matrices, then the following relationship is satisfied:

[0043]

[0044] Among them, C rl For characteristic parameter C r With C l Judgment criterion B k The weight ratio; C lr For characteristic parameter C l With C rThe weight ratio of the judgment criteria B k ; k is the judgment criterion number; l is the characteristic parameter number; r is the characteristic parameter auxiliary number;

[0045] S242: Introducing the 1-9 scale method to divide the importance between the characteristic parameters in the judgment matrix A p ;

[0046] S243: Weight calculation of the characteristic parameters; in the judgment matrix A p , the product of each row of judgment elements is:

[0047] M l =ΠC rl (rl=1,2,…,K n )

[0048] Wherein, M l is the product of the lth row of judgment elements;

[0049] S244: Calculate the eigenvalue of the judgment matrix A p , and normalize the eigenvector to obtain the component; the component of the eigenvector of the judgment matrix A p is:

[0050]

[0051] Wherein, W i is the component of the eigenvector of the ith judgment matrix A p ;

[0052] S245: Standardization processing of the eigenvector to calculate the relative weight value W hi , to calculate the characteristic parameter weight U of the aviation equipment support benchmark comparison system; the relative weight value W hi is:

[0053]

[0054] Wherein, W hi is the weight of the ith characteristic parameter of the aviation equipment support benchmark comparison system at this level relative to the characteristic parameter at the upper level.

[0055] Preferably, the application scene of the aviation equipment support system to be analyzed in step S1 is divided into four application scenes: demonstration project approval stage, engineering development stage, installation and shaping stage, and batch production and support stage;

[0056] The establishment of the aviation equipment supportability benchmark comparison system is based on the existing aviation equipment supportability system closest to the design, use and support characteristics of the aviation equipment supportability system to be analyzed, which can be composed of the aviation equipment support system and its subsystems in the existing database, and saved and applied according to the data structure paradigm.

[0057] Preferably, the characteristic parameters of the aviation equipment supportability benchmark comparison system to be analyzed are determined by the analytic hierarchy process in step S21, specifically including: the equipment level supportability benchmark comparison system characteristic parameters of the aviation equipment, the system level supportability benchmark comparison system characteristic parameters of the aviation equipment, the device level supportability benchmark comparison system characteristic parameters of the aviation equipment and the support system supportability benchmark comparison system characteristic parameters of the aviation equipment.

[0058] The equipment level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: equipment function characteristic parameters, equipment performance characteristic parameters, equipment size and volume characteristic parameters, equipment weight characteristic parameters, equipment energy consumption characteristic parameters, equipment material characteristic parameters, equipment reliability characteristic parameters, equipment maintainability characteristic parameters, equipment supportability characteristic parameters, equipment testability characteristic parameters, equipment safety characteristic parameters and equipment environmental adaptability characteristic parameters.

[0059] The system level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: system function characteristic parameters, system architecture characteristic parameters, system reliability characteristic parameters, system maintainability characteristic parameters, system testability characteristic parameters and system safety characteristic parameters.

[0060] The device level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: device function characteristic parameters, device size characteristic parameters, device weight characteristic parameters, device material characteristic parameters, device interface characteristic parameters, device power characteristic parameters, device rated working voltage characteristic parameters, device load current characteristic parameters and device life characteristic parameters.

[0061] The support system supportability benchmark comparison system characteristic parameter analysis of the aviation equipment is carried out from two aspects of support scheme and support resources; the aviation equipment supportability benchmark comparison system characteristic parameters in the support scheme are analyzed according to the use support scheme and the maintenance support scheme respectively; the aviation equipment supportability benchmark comparison system characteristic parameter analysis in the support resources is carried out according to the supply support characteristic parameters, support equipment characteristic parameters, technical data characteristic parameters, support facility characteristic parameters, packaging characteristic parameters, loading and unloading characteristic parameters, storage and transportation characteristic parameters and computer resource support characteristic parameters.

[0062] Preferably, in step S3, the effectiveness verification analysis based on support simulation is performed on the aviation equipment supportability benchmark comparison system in step S2, specifically as follows:

[0063] The support simulation model construction of the aviation equipment supportability benchmark comparison system includes task model, equipment model, support organization model, support resource model, support process model, and evaluation model and optimization model construction; the verification analysis of the aviation equipment supportability benchmark comparison system based on support simulation obtains the task success rate and the use ability degree through simulation, and compares the simulation indexes with the design requirement indexes of the aviation equipment supportability system to be analyzed; if the design requirement is met, it is indicated that the aviation equipment supportability benchmark comparison system to be analyzed meets the requirements; if it does not meet the requirements, the benchmark comparison system is further iteratively optimized.

[0064] Preferably, in step S3, the aviation equipment supportability benchmark comparison system data model is constructed according to the modeling methods of support business, conceptual data modeling, logical data modeling, and physical data modeling, specifically as follows:

[0065] S31: Aviation equipment supportability benchmark comparison system business data requirement analysis, on the basis of determining the supportability key business of the aviation equipment supportability benchmark comparison system full life cycle, the supportability requirement process is sorted out, and the corresponding relationship between the supportability requirement process and the data form is established; then, for each data form, the detailed data elements are further sorted out;

[0066] S32: Construction of the conceptual data model of the aviation equipment supportability benchmark comparison system, the core data entities, the core data structures, and the association relationship between the data entities are identified and extracted from the supportability business activities, and the E-R diagram is used to construct the conceptual data model;

[0067] S33: Construction of the logical data model of the aviation equipment supportability benchmark comparison system, on the basis of the conceptual data model, the entity, the relationship between entities, and the structure characteristic information of the entity are perfected, the class diagram modeling method in the unified modeling language is used to construct the logical data model of the aviation equipment supportability benchmark comparison system;

[0068] S34: Construction of the physical data model of the aviation equipment supportability benchmark comparison system, on the basis of the logical data model, the database storage requirements are further considered, the data table form is used to construct the physical data model of the supportability benchmark comparison system, and the rapid construction of the database is realized;

[0069] S35: Data model construction of the aviation equipment supportability benchmark comparison system based on EA; for the construction needs of the conceptual data model, the logical data model, and the physical data model of the aviation equipment supportability benchmark comparison system, the EA software is used to develop data modeling.

[0070] The second aspect of the present application provides an aviation equipment supportability benchmark comparison system based on similarity analysis, which comprises: an aviation equipment supportability benchmark comparison system data management module, an aviation equipment supportability system information input module and an aviation equipment supportability benchmark comparison system determination module.

[0071] The aviation equipment supportability benchmark comparison system data management module can store and display the aviation equipment supportability system information that has been input, including the characteristic information of the aviation equipment supportability system itself and the use support information.

[0072] The aviation equipment supportability system information input module can input the existing aviation equipment supportability system information, help the user to input the information of the aviation equipment supportability system, and display it in the aviation equipment supportability benchmark comparison system data management module.

[0073] The aviation equipment supportability benchmark comparison system determination module can automatically match the aviation equipment supportability system closest to the aviation equipment supportability system to be analyzed from the database of the aviation equipment supportability benchmark comparison system data management module according to the basic information of the aviation equipment supportability system to be analyzed, and construct the aviation equipment supportability benchmark comparison system.

[0074] Compared with the prior art, the present application has the following beneficial effects:

[0075] (1) The method adopted by the present application can solve the problems that the aviation equipment supportability benchmark comparison system is not perfect and complete, and cannot provide sufficient reference and data support for the design and analysis of new aviation equipment supportability, and the aviation equipment supportability benchmark comparison system constructed can completely realize the function of the new aviation equipment supportability system and meet the requirements of the test stage.

[0076] (2) The present application takes the aviation equipment supportability benchmark comparison system data as the basis and core, supports the development of aviation equipment supportability analysis and verification work efficiently, realizes seamless connection with front-end and back-end work, scientifically and reasonably plans the support system and support scheme, and improves the support ability of the support system for the new aviation equipment supportability system task.

[0077] (3) The application can be applied to equipment model supportability demonstration, engineering development, test identification, use and service support and other stages of the whole life cycle; in the model demonstration stage, based on the support conditions of similar equipment, system and device, a benchmark comparison system is constructed to provide support for the determination of model supportability index requirements; in the engineering development stage, similar equipment use support data are integrated to provide intelligent data services for supportability design analysis; in the milestone node and test identification stage, inputs are provided for the simulation evaluation of model supportability indexes and the compliance evaluation of supportability qualitative requirements to support the optimization of support scheme optimization; in the use stage, similar product use data and historical experience data are integrated to provide support for maintenance optimization analysis. BRIEF DESCRIPTION OF DRAWINGS

[0078] Figure 1 The control block diagram of the aviation equipment supportability benchmark comparison system based on similarity analysis of the application is shown in the figure;

[0079] Figure 2 The application scenario and construction requirement analysis flowchart of the aviation equipment supportability benchmark comparison system of the application is shown in the figure;

[0080] Figure 3 The construction flowchart of the aviation equipment supportability benchmark comparison system based on similarity analysis of the application is shown in the figure;

[0081] Figure 4 The data model construction flowchart of the aviation equipment supportability benchmark comparison system of the application is shown in the figure;

[0082] Figure 5 The aviation equipment supportability business data requirement analysis flowchart of the application is shown in the figure;

[0083] Figure 6 The conceptual model example diagram of the aviation equipment supportability benchmark comparison system of the application is shown in the figure;

[0084] Figure 7 The logical model example diagram of the aviation equipment supportability benchmark comparison system of the application is shown in the figure;

[0085] Figure 8 The physical model example diagram of the aviation equipment supportability benchmark comparison system of the application is shown in the figure;

[0086] Figure 9 The EA-based conceptual data model diagram of the aviation equipment supportability benchmark comparison system of the application is shown in the figure;

[0087] Figure 10 The EA-based logical data model diagram of the aviation equipment supportability benchmark comparison system of the application is shown in the figure;

[0088] Figure 11The EA-based physical data model diagram of the aviation equipment supportability benchmark comparison system of the present application. DETAILED DESCRIPTION

[0089] Exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. The same reference numbers in the drawings represent elements or components having the same function or similar functions. Although various aspects of the embodiments are illustrated in the drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0090] The embodiment of the present application is based on the aviation equipment support system in the existing database, and provides a method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis, aiming at the needs of the newly developed aviation equipment support system, as shown in Figure 1 According to the application scenarios of the aviation equipment supportability system to be analyzed, the construction requirements of the aviation equipment supportability benchmark comparison system are determined; the aviation equipment supportability benchmark comparison system is constructed based on the similarity analysis method, the similarity and weight of the characteristic parameters are obtained by analyzing the aviation equipment supportability system to be analyzed, and the aviation equipment supportability benchmark comparison system is constructed; the effectiveness of the aviation equipment supportability benchmark comparison system is verified and analyzed, and the data model of the aviation equipment supportability benchmark comparison system is constructed; which includes:

[0091] Step S1: According to the application scenarios of the aviation equipment supportability system to be analyzed, the construction requirements of the aviation equipment supportability benchmark comparison system are determined. According to the life cycle supportability business of the aviation equipment supportability system to be analyzed, the application scenarios of the aviation equipment supportability system to be analyzed are analyzed, and the construction requirements of the aviation equipment supportability benchmark comparison system are determined.

[0092] Step S11: Life cycle aviation equipment supportability business requirement analysis. The establishment of the aviation equipment supportability benchmark comparison system is based on the existing aviation equipment support system and its subsystems in the existing database, which can be combined to form the aviation equipment supportability benchmark comparison system, and the aviation equipment supportability benchmark comparison system is saved and applied according to the data structure paradigm. The system can be a real system, or a virtual synthetic system with similar technology and complexity as the proposed system. The aviation equipment supportability benchmark comparison system has hierarchy and combination. In the stages of equipment demonstration, engineering development, test identification, use and support, different analysis objects and supportability analysis work items are established. Therefore, it is necessary to start from the composition and support characteristics of different types of aviation equipment systems, analyze the basic situation of equipment support, the selection and development of life cycle comprehensive support work items, and summarize the common and individual characteristics of each type of equipment.

[0093] Step S12: The application scenario analysis of the aviation equipment supportability benchmark comparison system in the whole life cycle supportability business. The aviation equipment supportability system application scenarios to be analyzed are divided into four application scenarios, namely, the demonstration project establishment stage, the engineering development stage, the installation and shaping stage, and the batch production and support stage. Figure 2 As shown in FIG. 13, it is a flow chart of the application scenario and construction requirement analysis of the aviation equipment supportability benchmark comparison system of the present application. Based on the supportability business requirements of different types of equipment in the whole life cycle, the application scenarios of the aviation equipment supportability benchmark comparison system in the process of each supportability business are analyzed, and the whole process of how the stakeholders such as the demonstration unit, the development unit, the test unit and the use unit establish the aviation equipment supportability benchmark comparison system, carry out the collaborative work based on the aviation equipment supportability benchmark comparison system, and update and adjust the aviation equipment supportability benchmark comparison system is described.

[0094] Step S121: The application scenario analysis of the aviation equipment supportability benchmark comparison system in the demonstration stage can be used to support the transfer decision of the improvement direction of supportability constraints, the alternative support scheme, the supportability preliminary target, the supportability target value and the threshold value, etc.

[0095] Step S122: The application scenario analysis of the aviation equipment supportability benchmark comparison system in the engineering development stage can be used to support the transfer decision of determining the support scheme, proposing the support resource requirement, revising the supportability target value and the threshold value, etc.

[0096] Step S123: The application scenario analysis of the aviation equipment supportability benchmark comparison system in the test and identification stage can be used to support the ability of the existing and planned aviation equipment support system to meet the support target; to evaluate whether the threshold value of the related support is reached, the sufficiency of the support plan and resources, and the influence on the cost and mission integrity target.

[0097] Step S124: The application scenario analysis of the aviation equipment supportability benchmark comparison system in the use stage can be used to support the supportability and mission integrity evaluation, and the support improvement plan.

[0098] Step S2: The aviation equipment supportability system to be analyzed is analyzed based on the similarity analysis method, the similarity and weight of the characteristic parameters are obtained, and the aviation equipment supportability benchmark comparison system is established, as shown in FIG. 14. Figure 3 As shown in FIG. 14, it is a construction flow chart of the aviation equipment supportability benchmark comparison system based on the similarity analysis of the present application. Specifically, the following sub-steps are included:

[0099] Step S21: According to the aviation equipment supportability benchmark comparison system construction requirement in step S1, the characteristic parameters of the aviation equipment supportability benchmark comparison system to be analyzed are determined by using the analytic hierarchy process, which is used to analyze the similarity between systems.

[0100] The characteristic parameters of the supportability benchmark comparison system of the aviation equipment to be analyzed are determined by using the analytic hierarchy process, and specifically include: the equipment-level supportability benchmark comparison system characteristic parameters of the aviation equipment, the system-level supportability benchmark comparison system characteristic parameters of the aviation equipment, the device-level supportability benchmark comparison system characteristic parameters of the aviation equipment, and the support system supportability benchmark comparison system characteristic parameters of the aviation equipment.

[0101] The equipment-level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: equipment function characteristic parameters, equipment performance characteristic parameters, equipment size and volume characteristic parameters, equipment weight characteristic parameters, equipment energy consumption characteristic parameters, equipment material characteristic parameters, equipment reliability characteristic parameters, equipment maintainability characteristic parameters, equipment supportability characteristic parameters, equipment testability characteristic parameters, equipment safety characteristic parameters, and equipment environmental adaptability characteristic parameters.

[0102] The system-level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: system function characteristic parameters, system architecture characteristic parameters, system reliability characteristic parameters, system maintainability characteristic parameters, system testability characteristic parameters, and system safety characteristic parameters.

[0103] The device-level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: device function characteristic parameters, device size characteristic parameters, device weight characteristic parameters, device material characteristic parameters, device interface characteristic parameters, device power characteristic parameters, device rated working voltage characteristic parameters, device load current characteristic parameters, and device life characteristic parameters.

[0104] The support system supportability benchmark comparison system characteristic parameter analysis of the aviation equipment is carried out from two aspects of support scheme and support resources; the aviation equipment supportability benchmark comparison system characteristic parameters in the support scheme are analyzed according to the use support scheme and the maintenance support scheme; and the aviation equipment supportability benchmark comparison system characteristic parameter analysis in the support resources is carried out according to the supply support characteristic parameters, support equipment characteristic parameters, technical data characteristic parameters, support facility characteristic parameters, packaging characteristic parameters, loading and unloading characteristic parameters, storage and transportation characteristic parameters, and computer resource support characteristic parameters.

[0105] The three-dimensional types of the characteristic parameters obtained above include: text type data characteristic parameters and numerical type data characteristic parameters.

[0106] Step S22: Similarity r of the numerical type data characteristic parameters in step S21 is calculated by using the similar element method ih , specifically:

[0107] Step S221: Determine the aviation equipment supportability system similarity element; use the similarity theory to establish a unified and quantified similarity comparison standard between the aviation equipment supportability system A to be analyzed and the aviation equipment supportability benchmark comparison system B; then the aviation equipment supportability system similarity element u(a i ,b i ) is the similarity element of the first characteristic parameter a i in the aviation equipment supportability system A to be analyzed and the second characteristic parameter b i in the aviation equipment supportability benchmark comparison system B.

[0108] Step S222: Quantize the aviation equipment supportability system similarity element; the characteristic elements in the aviation equipment supportability system similarity element u(a i ,b i ) are s1, s2, … s m , and S = [s1, s2, … s m ]; then let u h (a i ) be the characteristic value of the first characteristic parameter a i with respect to the characteristic element s h , and let u h (b i ) be the characteristic value of the second characteristic parameter b i with respect to the characteristic element s h ; then the characteristic similarity of the first characteristic parameter a i and the second characteristic parameter b i with respect to the characteristic element s h is:

[0109]

[0110] wherein r ih is the characteristic similarity of the first characteristic parameter a i and the second characteristic parameter b i ; min is the minimum value function; max is the maximum value function; u h (a i ) is the characteristic value of the first characteristic parameter a i with respect to the characteristic element s h ; u h (b i ) is the characteristic value of the characteristic parameter b i with respect to the characteristic element s h ; a i is the first characteristic parameter; and b i is the second characteristic parameter.

[0111] Step S23: Use the Jaro-Winkler algorithm to calculate the similarity Sim(A, B) of the text type data characteristic parameters in step S21, specifically:

[0112] Step S231: For the first string s of the text type data feature parameters in the aviation equipment support system A The second string s B The matching window (MW) is calculated as follows:

[0113]

[0114] Where MW is the matching window for the feature parameters of text-type data; |s A | represents the first string s A Length; |s B | is the second string s B The length.

[0115] First string s A The second string s B Both are the length of the string 2. When the distance between two identical characters is not greater than the matching window MW, the two characters are considered to be matched. Therefore, the matching window MW can filter out identical characters that are relatively far apart.

[0116] Step S232: Use the matching window MW of the text type data feature parameters to filter out identical characters that are relatively far apart, and obtain a new string sn after filtering. A and sn B Since the number of matched characters is the same, the string length m is:

[0117] m=|sn A |=|sn B |;

[0118] Where m is the string length; sn A For the first string s A The string obtained after filtering; sn B For the first string s B The string obtained after filtering.

[0119] By swapping characters, sn A Transform into sn B Let t be the number of swaps. s Then the number of string transpositions t is half the number of transpositions, which is t = t s / 2; for the first string s A The second string s B Perform character deletion operations without changing the character order, and set the resulting character sequence of the same length as the first string s. A The second string s BCharacter sequence length (number of characters) LCS(s) A s B ), the first string s A The second string s B The similarity coefficient of the common subsequences of the strings is:

[0120]

[0121] Among them, P LCS L is the similarity coefficient of common subsequences of strings; LCS The length of the character sequence.

[0122] Then the first string s A The second string s B The similarity formula is:

[0123]

[0124] Where Sim(A,B) is the first string s A The second string s B The similarity is t; t is the number of string transpositions.

[0125] Step S24: Establish a hierarchical structure model of the aviation equipment supportability benchmark comparison system, construct a judgment matrix for characteristic parameters, use the proportional scaling method to measure the characteristic parameters, and calculate the weights U of the characteristic parameters of the aviation equipment supportability benchmark comparison system. This includes the following steps:

[0126] Step S241: Construct the judgment matrix A of the feature parameters p ; There exists K m If there are 10 criteria that need to be judged, then the k-th criterion is judged by criterion B. k (k = 1, 2, ..., K) m ) indicates that there exists K for each criterion. n If there are specific indicators that need to be analyzed, then the l-th indicator is represented by the characteristic parameter C. l (l=1,2,...,K n The judgment matrix A of the feature parameters is constructed. p As shown in Table 1:

[0127] Table 1 Judgment Matrix of Feature Parameters

[0128]

[0129] Establish judgment criterion B k The characteristic parameters C1, C2, ... C of the judgment criteria l Comparison judgment matrix A p In judgment criterion B kThe importance is ranked in descending order, i.e. the weights of the characteristic parameters C1, C2,..., CK are determined l Since the judgment matrix A p is a positive reciprocal matrix, the following relationship is satisfied:

[0130]

[0131] wherein C rl is the ratio of the weights of the characteristic parameter C r and C l to the judgment criterion B k ; C lr is the ratio of the weights of the characteristic parameter C l and C r to the judgment criterion B k ; k is the judgment criterion number; l is the characteristic parameter number; and r is the auxiliary characteristic parameter number.

[0132] Step S242: The 1-9 proportional scale method is introduced to divide the importance between the characteristic parameters in the judgment matrix A p . The importance scale meanings from level 1 to level 9 are listed in Table 2:

[0133] Table 2 Importance scale meanings

[0134] [C rl importance scale]]> [C rl importance scale]]> Meaning 1 r [C r Parameter ratio C l Parameter primary importance 3 1 / 3 [C r Parameter ratio C l Parameter tertiary importance 5 1 / 5 [C r Parameter ratio C l Parameter five-level important 7 1 / 7 [C r Parameter ratio C l Parameter seven-level important 9 1 / 9 [C r Parameter ratio C l Parameter nine-level important 2,4,6,8 1 / 2,1 / 4,1 / 6,1 / 8 Scale of states between the two above judgments

[0135] Step S243: The weight of the characteristic parameter is calculated; the product of each row judgment element in the judgment matrix A p is:

[0136] M l = ΠC rl (rl=1, 2,..., K n );

[0137] wherein M l is the product of the lth row judgment element.

[0138] Step S244: The characteristic value of the judgment matrix A p is calculated, the characteristic vector is normalized, and the obtained component is: the component of the characteristic vector of the judgment matrix A p is:

[0139]

[0140] wherein W i is the component of the ith characteristic vector of the judgment matrix A p .

[0141] Step S245: The characteristic vector is normalized to calculate the relative weight value W hi :

[0142]

[0143] wherein W hi is the weight of the i-th characteristic parameter of the current level of the aviation equipment supportability benchmark comparison system relative to the characteristic parameter of the upper level.

[0144] The characteristic parameter weight U of the aviation equipment supportability benchmark comparison system is calculated as follows:

[0145]

[0146] wherein U is the characteristic parameter weight of the aviation equipment supportability benchmark comparison system; U i is the weight of the i-th characteristic parameter of the current level of the aviation equipment supportability benchmark comparison system; U h is the weight of the h-th characteristic parameter of the upper level of the aviation equipment supportability benchmark comparison system; W hi is the weight of the i-th characteristic parameter of the current level of the aviation equipment supportability benchmark comparison system relative to the h-th characteristic parameter of the upper level; h is the characteristic parameter number of the upper level of the aviation equipment supportability benchmark comparison system, h = 1, 2, …, m; i is the characteristic parameter number of the current level of the aviation equipment supportability benchmark comparison system, i = 1, 2, …, h; m is the dimension of the upper level judgment matrix.

[0147] The maximum eigenvalue λmax of the judgment matrix is calculated as follows:

[0148]

[0149] wherein λmax is the maximum eigenvalue of the judgment matrix; E is the eigenvalue parameter of the judgment matrix; W is the eigenvector parameter of the judgment matrix.

[0150] The judgment matrix is subjected to consistency check; in order to ensure the importance of each characteristic parameter to be coordinated, consistency check is needed, i.e. whether the inconsistency degree exceeds the allowed range. In general, when the relative consistency index CI is less than or equal to 0.1, it indicates that the judgment matrix has passed the consistency check; otherwise, when the relative consistency index CI is greater than or equal to 0.1, it indicates that the consistency check has not been passed, and the greater the value of the relative consistency index CI, the more serious the inconsistency. The relative consistency index CI and the relative consistency ratio CR are calculated as follows:

[0151]

[0152] wherein CI is the relative consistency index; CR is the relative consistency ratio; RI is the relative consistency ratio parameter.

[0153] When λmax = n, the relative consistency index CI value is 0. However, generally, λmax is greater than n, so the value of the relative consistency index CI is greater than or equal to 0. The smaller the value of the relative consistency index CI, the higher the consistency.

[0154] Step S25: determining the similarity of the aviation equipment support reference comparison system, the aviation equipment support reference comparison system with the highest similarity to the aviation equipment to be analyzed is determined by weighting calculation of the similarity and weight of each characteristic parameter; in the embodiment of the present application, the aviation equipment support system A to be analyzed has k characteristic parameters, the aviation equipment support reference comparison system B in the product library has l parameters, and the number of similar parameters between the two is n, so the similarity analysis result is:

[0155]

[0156] Wherein, Q(A, B) is the similarity of the aviation equipment system to be analyzed and the aviation equipment support reference comparison system; r j is the similarity of the jth characteristic parameter; a j is the weight of the jth characteristic parameter; k is the number of characteristic parameters of the aviation equipment support system to be analyzed; A is the aviation equipment support system to be analyzed; B is the aviation equipment support reference comparison system; l is the number of characteristic parameters of the aviation equipment support reference comparison system; n is the dimension of the judgment matrix at this level.

[0157] Step S26: the aviation equipment support reference comparison system is established by comparing the characteristic parameters of the aviation equipment support system to be analyzed and the aviation equipment support system in the existing database.

[0158] Step S3: the aviation equipment support reference comparison system in step S2 is analyzed for effectiveness verification based on support simulation, specifically:

[0159] The aviation equipment support reference comparison system support simulation model construction includes task model, equipment model, support organization model, support resource model, support process model, and evaluation model and optimization model construction; the aviation equipment support reference comparison system verification analysis based on support simulation obtains the task success rate and the use ability degree through simulation, and compares the simulation indexes with the design requirement indexes of the aviation equipment support system to be analyzed; if the design requirements are met, it is indicated that the aviation equipment support reference comparison system to be analyzed meets the requirements, and if the requirements are not met, the reference comparison system is further iteratively optimized.

[0160] Then, according to the modeling methods of support business, conceptual data modeling, logical data modeling and physical data modeling, the aviation equipment support reference comparison system data model is constructed, such as Figure 4The figure shows the data model construction flowchart of the aviation equipment supportability reference comparison system of the application; in particular,

[0161] Step S31: aviation equipment supportability reference comparison system business data requirement analysis, based on determining the supportability key business of the aviation equipment supportability reference comparison system in the whole life cycle, combing the supportability requirement process, establishing the corresponding relationship between the supportability requirement process and the data form; then, for each data form, further combing the detailed data elements. For example, Figure 5 The figure shows the aviation equipment supportability business data requirement analysis flowchart of the application.

[0162] Step S32: constructing the conceptual data model of the aviation equipment supportability reference comparison system, identifying and extracting the core data entity, the core data structure and the association relationship between the data entities from the supportability business activities, and adopting the E-R diagram to construct the conceptual data model; for example, Figure 6 The figure shows the conceptual model example diagram of the aviation equipment supportability reference comparison system of the application.

[0163] Step S33: constructing the logical data model of the aviation equipment supportability reference comparison system, based on the conceptual data model, perfecting the entity, the relationship between the entities and the structure characteristic information of the entity, adopting the class diagram modeling method in the unified modeling language (UML2.0) to construct the logical data model of the aviation equipment supportability reference comparison system. Around different themes, setting the data units at different levels such as "function domain", "function unit", "class" and "attribute", and establishing various logical association relationships such as "generalization", "combination", "aggregation", "dependence" and "implementation" between the "classes", forming the hierarchical and standardized logical data model; for example, Figure 7 The figure shows the logical model example diagram of the aviation equipment supportability reference comparison system of the application.

[0164] Step S34: constructing the physical data model of the aviation equipment supportability reference comparison system, based on the logical data model, further considering the database storage requirements, adopting the data table form to construct the physical data model of the supportability reference comparison system, and realizing the rapid construction of the database; the physical data model is the modeling implementation of the logical database model considering the database characteristics, the data entity is established into the model form of the data table, each data table can directly generate the SQL code, and then directly generate the database table; for example, Figure 8 The figure shows the physical model example diagram of the aviation equipment supportability reference comparison system of the application.

[0165] Step S35: data model construction of the EA (Enterprise Architect) based aviation equipment supportability benchmark comparison system; in order to construct the conceptual data model, logical data model and physical data model of the aviation equipment supportability benchmark comparison system, data modeling is carried out by using the EA software. In the EA, a project is first established, then Model Wizard is selected for the project, and a "Simple Entity Relationship Model" model is selected to import an E-R model template, as shown in the following figure: Figure 9 The figure shows the conceptual data model diagram of the aviation equipment supportability benchmark comparison system based on the EA.

[0166] When the conceptual data model is established, the block diagram of UML can be directly constructed to construct the data structure, or a "Data Dictionary" model can be selected for the project to import a data structure model template. The logical model modeling template is shown in the following figure. The block diagram in the logical model only has a logical structure, and the physical storage feature has not yet been embodied. As shown in the following figure: Figure 10 The figure shows the logical data model diagram of the aviation equipment supportability benchmark comparison system based on the EA.

[0167] When the physical data model is established, a model template can also be quickly found through the model wizard. Model Wizard is selected for the project, and a "Data Modeling" model is selected to import a physical data model template. The physical data model template is shown in the following figure. In the physical model, the data type is generated in combination with a specific database, the primary key information is generated according to the data association relationship, and all fields use the underscore naming method. As shown in the following figure: Figure 11 The figure shows the physical data model diagram of the aviation equipment supportability benchmark comparison system based on the EA.

[0168] In the EA, E-R language and UML language can be used for data modeling work. E-R can be used to establish a conceptual data model in the conceptual modeling stage, and UML language can be used to express similar structures and association relationships. Therefore, UML language can be used to completely express the data modeling needs in the EA. In data modeling, there is a certain data conversion relationship between the three models.

[0169] E-R diagram to data model conversion; the conversion of the entity relationship diagram (ERD) to the data model converts the ERD logical model into a data model for a default database type, and prepares to generate a DDL statement to run in one of the database products supported by the system. Before conversion, a public data type needs to be defined for each attribute, and then a database type is selected as the default database. Then the data physical model can be automatically generated. The element mapping between ERD and data physical model is shown in the following table 3.

[0170] Table 3 Mapping of ERD to physical data model

[0171] ERD Physical data model Entity Table Attribute Field Primary key Primary key Connector Foreign key

[0172] Conversion of logical data model to physical data model; DDL conversion converts the logical model into a data model structured to conform to one of the supported DBMS. The target database type is determined by which DBMS is set as the default database in the model. Then, DDL statements can be automatically generated using the data model to run in one of the system supported database products. The DDL conversion uses and proves the support of the intermediate language for many database specific concepts. The element mapping between the logical data model and the data physical model is shown in Table 4 below.

[0173] Table 4 Mapping of logical data model to physical data model

[0174] Logical data model Physical data model Class Table Attribute Field Primary key Primary key Relationship Foreign key

[0175] The second aspect of the embodiment of the present application proposes an aviation equipment supportability benchmark comparison system based on similarity analysis, which comprises an aviation equipment supportability benchmark comparison system data management module, an aviation equipment supportability system information input module and an aviation equipment supportability benchmark comparison system determination module. The aviation equipment supportability benchmark comparison system data management module can store and display the aviation equipment supportability system information that has been input, including the characteristic information of the aviation equipment supportability system itself and the use support information. The aviation equipment supportability system information input module can input the existing aviation equipment supportability system information, help the user to input the information of the aviation equipment supportability system, and display in the aviation equipment supportability benchmark comparison system data management module. The aviation equipment supportability benchmark comparison system determination module can automatically match the aviation equipment supportability system closest to the aviation equipment supportability system to be analyzed from the database of the aviation equipment supportability benchmark comparison system data management module according to the basic information of the aviation equipment supportability system to be analyzed, and construct the aviation equipment supportability benchmark comparison system.

[0176] The application has the beneficial effects that: the embodiment of the application provides a kind of aviation equipment supportability benchmark comparison system construction method based on similarity analysis, can solve the problem that aviation equipment supportability benchmark comparison system is not perfect, cannot provide enough reference and data support for new research aviation equipment supportability design analysis etc. The application takes aviation equipment supportability benchmark comparison system data as basis and core, realizes seamless connection with front and rear work by efficiently supporting the development of aviation equipment supportability analysis and verification work, scientifically and reasonably plans aviation equipment support system and support scheme, improves the support ability of aviation equipment support system to equipment mission implementation. Through the analysis of the aviation equipment supportability benchmark comparison system constructed by the embodiment, it is proved that the application can be applied to aviation equipment type supportability demonstration, engineering development, test identification, use and support and other stages of whole life cycle.

[0177] The above-described embodiments are only preferred embodiments of the application, and do not limit the scope of the application. Without departing from the design spirit of the application, various modifications and improvements of the technical solutions of the application made by those skilled in the art shall fall within the protection scope determined by the claims of the application.

Claims

1. A method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis, characterized in that, It includes: S1: Based on the application scenarios of the aviation equipment supportability system to be analyzed, determine the construction requirements of the aviation equipment supportability benchmark comparison system; For the full life-cycle supportability operations of the supportability system of the aviation equipment to be analyzed, the application scenarios of the supportability system of the aviation equipment to be analyzed are analyzed, and the construction requirements of the aviation equipment supportability benchmark comparison system are determined. S2: Analyze the supportability system of the aviation equipment under analysis based on similarity analysis method, obtain the similarity and weight of feature parameters, and build a benchmark comparison system for aviation equipment supportability. This includes the following sub-steps: S21: Based on the requirements for constructing the aviation equipment supportability benchmark comparison system in step S1, the characteristic parameters of the aviation equipment supportability benchmark comparison system to be analyzed are determined using the analytic hierarchy process (AHP) to analyze the similarity between systems; the characteristic parameters include: text type data characteristic parameters and numerical type data characteristic parameters; S22: Calculate the similarity of the feature parameters of the numerical data in step S21 using the similarity element method. ; S23: Calculate the similarity of the feature parameters of the text type data in step S21. ; S24: Establish a hierarchical structure model for the aviation equipment supportability benchmark comparison system, construct a judgment matrix for characteristic parameters, use the proportional scaling method to measure the characteristic parameters, and calculate the weights of the characteristic parameters of the aviation equipment supportability benchmark comparison system as follows: ； in, Weights of characteristic parameters for the aviation equipment supportability benchmark comparison system; For the aviation equipment supportability benchmark comparison system, this level is the first Weights of each feature parameter; The next level of the aviation equipment supportability benchmark comparison system Weights of each feature parameter; For the aviation equipment supportability benchmark comparison system, this level is the first The feature parameter is relative to the previous level. The weights of each feature parameter; Assigning a feature parameter number to the next level of the aviation equipment supportability benchmark comparison system. ; The characteristic parameter number for this level of the aviation equipment supportability benchmark comparison system. ; The dimension of the higher-level judgment matrix; S25: Determine the similarity of the aviation equipment supportability benchmark comparison system. By weighting the similarity and weight of each feature parameter, determine the aviation equipment supportability benchmark comparison system with the highest similarity to the aviation equipment to be analyzed. The similarity analysis results are as follows: ； in, To analyze the similarity between the aviation equipment system and the aviation equipment supportability benchmark comparison system; For the first The similarity of the feature parameters; For the first Weights of each feature parameter; The number of characteristic parameters of the aviation equipment support system to be analyzed; For the analysis of the support system of aviation equipment; A benchmark comparison system for the supportability of aviation equipment; The number of characteristic parameters for the aviation equipment supportability benchmark comparison system; The dimension of the judgment matrix at this level; S26: By comparing the characteristic parameters of the supportability system of the aviation equipment to be analyzed with those of the aviation equipment supportability systems in the existing database, an aviation equipment supportability benchmark comparison system is established. S3: Conduct an effectiveness verification analysis of the aviation equipment supportability benchmark comparison system in step S2 based on support simulation; and construct a data model of the aviation equipment supportability benchmark comparison system according to the modeling methods of supportability business, conceptual data modeling, logical data modeling, and physical data modeling, and save and apply the aviation equipment supportability benchmark comparison system.

2. The method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis according to claim 1, characterized in that: In step S22, the similarity element method is used to calculate the similarity of the feature parameters of the numerical data types in step S21, specifically as follows: S221: Determine the similarity elements of the aircraft equipment support system; apply similarity theory to the support system of the aircraft equipment to be analyzed. Comparison system with aviation equipment supportability benchmarks Establish a unified and quantitative similarity comparison standard among them; then the similarity elements of aviation equipment support systems For the analysis of the support system of aviation equipment The first characteristic parameter Comparison system with aviation equipment supportability benchmarks Second characteristic parameter Similar elements; S222: Quantitative similarity element of aviation equipment support system; the similarity element of the aviation equipment support system The characteristic elements in are , Then record The first characteristic parameter Relative to feature elements The eigenvalues, denoted as The second characteristic parameter Relative to feature elements If the eigenvalues ​​are such that the first eigenparameter is... Second characteristic parameter Relative to feature elements The feature similarity is: ， ； in, The first characteristic parameter With the second characteristic parameter Feature similarity; The function is for finding the minimum value; This is a function to find the maximum value. The first characteristic parameter Relative to feature elements eigenvalues; For feature parameters Relative to feature elements eigenvalues; The first characteristic parameter; This is the second characteristic parameter.

3. The method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis according to claim 1, characterized in that: Step S23 calculates the similarity of the text type data feature parameters from step S21, specifically as follows: S231: For the first string of text-type data characteristic parameters in the aviation equipment support system Second string Calculate the matching window for: ； in, A matching window for feature parameters of text-type data; The first string Length; For the second string Length; S232: Matching window using text type data feature parameters Filter out identical characters that are relatively far apart, and the filtered result is a new string. and Because the number of matched characters is the same, the string length is... for: ； in, The length of the string; The first string The string obtained after filtering; The first string The string obtained after filtering; By swapping characters Transform into The number of swaps is denoted as The number of string transpositions It is half the number of times the transposition occurs. For the first string Second string Perform character deletion operations without changing the character order, and set the resulting character sequence of the same length as the first string. Second string character sequence length The first string Second string The similarity coefficient of the common subsequences of the strings is: ； in, The similarity coefficient of common subsequences of strings; The length of the character sequence; Then the first string Second string The similarity formula is: ； in, The first string Second string Similarity; This represents the number of transpositions in the string.

4. The method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis according to claim 1, characterized in that: In step S24, a judgment matrix for the feature parameters is constructed, the feature parameters are measured using the proportional scaling method, and the weights of the feature parameters in the aviation equipment supportability benchmark comparison system are calculated. Specifically: S241: Construct the judgment matrix of feature parameters ; exist If there are several criteria that require judgment, then the k-th criterion is determined by the judgment criterion. This indicates that k=1, 2, ..., ; There exists for each criterion The specific indicator that needs to be analyzed is the first one. Each indicator uses characteristic parameters express, =1, 2, ..., ; Establish judgment criteria Characteristic parameters for judgment criteria Comparison judgment matrix between In the judgment criteria Sort by relative importance, that is, determine the feature parameters. The weights; due to the judgment matrix If they are positively reciprocal matrices, then the following relationship is satisfied: ； in, For feature parameters and Judgment criteria The weight ratio; For feature parameters and Judgment criteria The weight ratio; Number the judgment criteria; Number the feature parameters; Auxiliary numbering for feature parameters; S242: Introducing the 1-9 scaling method in the judgment matrix. The importance of the feature parameters is divided in the middle; S243: Calculation of feature parameter weights; Judgment matrix Within, calculate the product of the elements in each row: ； in, For the first The row evaluates the product of its elements; S244: Calculate the judgment matrix The eigenvectors are normalized; the judgment matrix is ​​then calculated. The components of the eigenvector are: ； in, For the first Judgment Matrix The components of the eigenvector; S245: Standardize the feature vectors to calculate the relative weight values. To calculate the weights of characteristic parameters in the aviation equipment supportability benchmark comparison system. The relative weight value for: ； in, For the aviation equipment supportability benchmark comparison system, this level is the first The weights of each feature parameter relative to the feature parameters of the upper layer.

5. The method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis according to claim 1, characterized in that: In step S1, the analysis of the application scenarios of the aviation equipment support system to be analyzed is divided into four application scenarios: the demonstration and project establishment stage, the engineering development stage, the equipment commissioning and finalization stage, and the mass production and support stage. The establishment of the aviation equipment supportability benchmark comparison system is based on the existing aviation equipment support system that is closest to the aviation equipment support system to be analyzed in terms of design, use and support characteristics. It can be composed of aviation equipment support systems and their subsystems in the existing database, and the aviation equipment supportability benchmark comparison system is stored and applied in accordance with the data structure paradigm.

6. The method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis according to claim 1, characterized in that: In step S21, the characteristic parameters of the supportability benchmark comparison system of the aviation equipment to be analyzed are determined using the analytic hierarchy process (AHP). Specifically, these parameters include: equipment-level supportability benchmark comparison system characteristic parameters of aviation equipment, system-level supportability benchmark comparison system characteristic parameters of aviation equipment, equipment-level supportability benchmark comparison system characteristic parameters of aviation equipment, and support system supportability benchmark comparison system characteristic parameters of aviation equipment. The equipment-level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: equipment functional characteristic parameters, equipment performance characteristic parameters, equipment size and volume characteristic parameters, equipment weight characteristic parameters, equipment energy consumption characteristic parameters, equipment material characteristic parameters, equipment reliability characteristic parameters, equipment maintainability characteristic parameters, equipment supportability characteristic parameters, equipment testability characteristic parameters, equipment safety characteristic parameters, and equipment environmental adaptability characteristic parameters. The system-level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: system functional characteristic parameters, system architecture characteristic parameters, system reliability characteristic parameters, system maintainability characteristic parameters, system testability characteristic parameters, and system safety characteristic parameters. The equipment-level supportability benchmark comparison system characteristic parameters of the aviation equipment specifically include: equipment functional characteristic parameters, equipment size characteristic parameters, equipment weight characteristic parameters, equipment material characteristic parameters, equipment interface characteristic parameters, equipment power characteristic parameters, equipment rated operating voltage characteristic parameters, equipment load current characteristic parameters, and equipment life characteristic parameters. The support system support benchmark comparison system characteristic parameters of the aforementioned aviation equipment support system specifically include: conducting support system benchmark comparison system characteristic parameter analysis from two aspects: support plan and support resources; the aviation equipment support benchmark comparison system characteristic parameters in the support plan are analyzed separately according to the use support plan and the maintenance support plan; the aviation equipment support benchmark comparison system characteristic parameters in the support resources are analyzed according to supply support characteristic parameters, support equipment characteristic parameters, technical data characteristic parameters, support facility characteristic parameters, packaging characteristic parameters, loading and unloading characteristic parameters, storage and transportation characteristic parameters, and computer resource support characteristic parameters.

7. The method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis according to claim 1, characterized in that: Step S3 involves performing an effectiveness verification analysis based on support simulation of the aviation equipment supportability benchmark comparison system from step S2, specifically as follows: The support simulation model for the aviation equipment supportability benchmark comparison system is constructed, including the construction of mission model, equipment model, support organization model, support resource model, support process model, as well as evaluation and optimization models. Based on the support simulation, the support benchmark comparison system for aviation equipment is verified and analyzed. The mission success rate is obtained through simulation, and the simulation indicators are compared with the design requirements of the supportability system of the aviation equipment to be analyzed. If the design requirements are met, it is indicated that the constructed support benchmark comparison system of the aviation equipment to be analyzed meets the requirements. If it does not meet the requirements, the benchmark comparison system is further iteratively optimized.

8. The method for constructing an aviation equipment supportability benchmark comparison system based on similarity analysis according to claim 1, characterized in that: In step S3, following the modeling methods of support operations, conceptual data modeling, logical data modeling, and physical data modeling, a data model for the aviation equipment supportability benchmark comparison system is constructed, specifically as follows: S31: Business Data Requirements Analysis of the Aviation Equipment Supportability Benchmark Comparison System. Based on the determination of the key supportability business throughout the entire life cycle of the aviation equipment supportability benchmark comparison system, the process of each supportability requirement is sorted out, and the correspondence between the supportability requirement process and the data form is established; then, for each data form, the detailed data elements are further sorted out. S32: Construct a conceptual data model for an aviation equipment supportability benchmark comparison system, identify and extract core data entities, core data structures and relationships between data entities from support operations, and construct the conceptual data model using ER diagrams; S33: Construct a logical data model for the aviation equipment supportability benchmark comparison system. Based on the conceptual data model, improve the information on entities, relationships between entities, and structural features of entities. Use the class diagram modeling method in the Unified Modeling Language to construct the logical data model for the aviation equipment supportability benchmark comparison system. S34: Construct a physical data model for the supportability benchmark comparison system of aviation equipment. Based on the logical data model, further consider the database storage requirements and construct the physical data model of the supportability benchmark comparison system in the form of data tables to achieve rapid database construction. S35: Data model construction of the aviation equipment supportability benchmark comparison system based on EA; Data modeling is carried out using EA software to meet the needs of constructing the conceptual data model, logical data model and physical data model of the aviation equipment supportability benchmark comparison system.

9. A supportability benchmark comparison system for aviation equipment based on similarity analysis, characterized in that, It includes: aviation The system includes a data management module for the equipment supportability benchmark comparison system, an information input module for the aviation equipment supportability system, and a determination module for the aviation equipment supportability benchmark comparison system. The data management module of the aviation equipment supportability benchmark comparison system can store and display the information of the aviation equipment support system that has been entered, including the characteristic information of the aviation equipment support system itself and its supportability information. The aviation equipment support system information entry module can enter existing aviation equipment support system information, help users enter information about aviation equipment support systems, and display it in the aviation equipment support benchmark comparison system data management module. The aviation equipment supportability benchmark comparison system determination module can automatically match the aviation equipment support system that is closest to the aviation equipment support system to be analyzed from the database of the aviation equipment supportability benchmark comparison system data management module based on the basic information of the aviation equipment supportability system to be analyzed, and construct the aviation equipment supportability benchmark comparison system.

Images