An airborne distributed PHM intelligent evaluation management system based on optical fiber wireless hybrid communication

Abstract

The application provides an airborne distributed PHM intelligent evaluation management system based on optical fiber wireless hybrid communication, belongs to basic electronic circuits in the electrical field, belongs to topological structures and circuits in the field of intelligent sensor detection, and relates to an airborne distributed PHM intelligent evaluation management system, which can realize distributed PHM intelligent evaluation management of an airborne system and stable, efficient, flexible and multi-mode hybrid communication in the system, mainly comprises an intelligent evaluation management master computer, distributed intelligent evaluation terminals and their attached sensors, a communication network and the like, in the management mode, the airborne system can be subjected to distributed PHM intelligent evaluation and management by using the application, and the system communication stability and configuration flexibility can be improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of basic electronic circuits in electricity, and belongs to the field of topology and circuit of intelligent sensor detection, and relates to an airborne distributed PHM intelligent evaluation management system. BACKGROUND

[0002] There are many kinds of airborne system devices, involving multiple professional technical fields such as machinery, electricity, hydraulic pressure and energy, and the structure and working condition of the airborne system are very complex. In addition, the airborne devices are distributed in various parts of the fuselage, and some parts are not easy for maintenance personnel to enter, and the disassembly of the devices is limited by the small space in the aircraft, so it is difficult to use manual maintenance for the maintenance and repair of the airborne devices.

[0003] With the development of technology, the maintenance strategy of airborne devices has changed from after-event maintenance to regular maintenance, and further to built-in test (BIT) technology. On the basis of BIT technology, further development has been made, and the introduction of fault feature extraction, fault recognition technology, deep learning technology and artificial intelligence technology has gradually developed fault prediction and health management technology (Prognostics Health Management, PHM). The application of PHM technology marks the change of the maintenance and repair strategy of the device from passive maintenance strategy based on after-event maintenance to active maintenance strategy based on on-condition maintenance. The application of PHM technology improves the maintenance and support level and ability of the device.

[0004] At present, the technical level of the state monitoring system researched and developed for airborne devices mainly stays in the BIT technology and sub-PHM technology stage, and the practical application of airborne PHM technology is restricted and limited by the existing airborne computing power, system topology, signal acquisition, state monitoring and data transmission.

[0005] Since the advent of distributed technology, due to its advantages in adaptability, expansibility, controllability and reliability, it has been gradually applied to detection, control, energy and other fields. In the field of signal detection and control, a large number of sensors, distributed terminals and other devices are arranged near the measured and controlled objects. The distributed terminal has a certain signal processing, operation and decision-making ability. The smaller capacity of the result, conclusion data after preprocessing, operation or analysis is uploaded to the host computer or the total control computer. The data transmission between the distributed processing unit, the distributed terminal and the host computer, the total control computer is greatly reduced, and the number of communication control lines can be greatly reduced. In the signal detection and PHM technology, the distributed technology can effectively allocate computing power to each distributed terminal, and the entire distributed system shares computing power, which can greatly improve the computing power of the entire system. And using distributed technology can greatly improve the flexibility, adaptability, expandability, redundancy and reliability of the system.

[0006] In the scene of short distance, weak electromagnetic interference and other wireless communication methods allowed, wireless communication method is used for data transmission between distributed terminals, distributed terminals and sensors, which can break away from the shackles of communication lines, make the arrangement of distributed terminals and sensors more flexible, and fully exert the advantages of distributed technology.

[0007] The airborne environment is relatively complex, and the metal body cavity and complex electromagnetic compatibility environment do not support long-distance wireless data transmission of airborne distributed systems, which can only be performed within a short distance. Therefore, in the scene where wireless data transmission and communication are not convenient to apply, wired communication method needs to be used. Optical fiber communication is a high-efficiency airborne data communication method because of its large communication capacity, strong anti-interference ability, small long-distance attenuation and other advantages. The combination of optical fiber communication and wireless communication can effectively make up for the shortcomings of the independent use of one kind of data communication method, and the optical fiber and wireless hybrid communication method can realize overall consideration of data transmission and communication stability, reliability and flexibility. SUMMARY

[0008] The technical problem to be solved by the present application is the problem in the field of distributed state monitoring, signal acquisition, data transmission, intelligent evaluation and management technology of airborne system fault prediction and health management at present. In order to fill the gap and make up for the deficiency of the prior art, the present application proposes an airborne distributed PHM intelligent evaluation and management system based on optical fiber and wireless hybrid communication.

[0009] The airborne distributed PHM intelligent evaluation management system based on the optical fiber and wireless hybrid communication mainly comprises field layer equipment, communication layer equipment, control layer equipment and management layer equipment.

[0010] The communication of the airborne distributed PHM intelligent evaluation management system based on the optical fiber and wireless hybrid communication adopts the optical fiber and wireless hybrid communication mode. The data communication mainly involves the communication between intelligent terminals, the communication between the intelligent terminal and the sensor, and the communication between the intelligent terminal and the intelligent management evaluation host. A typical feature of the present application is that the optical fiber and wireless hybrid communication mode is adopted in the intelligent evaluation management system. According to the data interaction, the communication object, the environment, the communication quality and other characteristics and requirements, the data communication mode is flexibly selected and the connection form of the communication network topology is designed. The present application has the characteristics of multiple communication modes, flexible structure and high communication reliability.

[0011] The optical fiber and wireless hybrid communication mode of the present application refers to the data communication mode in the airborne distributed PHM intelligent evaluation system. The data communication mainly exists between the following parts, subsystems and devices: the distributed intelligent evaluation terminal and its attached sensor, the intelligent evaluation terminal and the intelligent evaluation terminal, and the intelligent evaluation terminal and the intelligent evaluation management host computer.

[0012] The optical fiber and wireless hybrid communication mode of the present application refers to the data communication mode in the airborne distributed PHM intelligent evaluation system. The data communication mainly exists between the following parts, subsystems and devices: the distributed intelligent evaluation terminal and its attached sensor, the intelligent evaluation terminal and the intelligent evaluation terminal, and the intelligent evaluation terminal and the intelligent evaluation management host computer.

[0013] The optical fiber and wireless hybrid communication mode of the present application utilizes the advantages of stable optical fiber communication signal transmission, strong anti-interference ability, long transmission distance, light transmission line, large signal transmission capacity and the like. In the present application, the optical fiber communication mode mainly exists in the following communication scenarios: high signal transmission quality, long signal transmission distance, large signal transmission capacity and strong electromagnetic interference. In the present application, if not specially stated, the communication between the intelligent evaluation terminal and the intelligent evaluation management host computer uses the optical fiber communication.

[0014] The optical fiber wireless hybrid communication mode in the application utilizes the advantages of wireless communication, such as high flexibility, fast arrangement, no need of wiring, small system weight, low cost, easy isolation of faults, etc. The specific standards and protocols of wireless communication in the application include but are not limited to IEEE802.15.4: ZigBee, IEEE802.11: WiFi, IEEE802.15.1: Bluetooth and Bluetooth Low Energy (BLE), IEEE802.16: WiMax, IEEE5G communication protocol family, etc. The wireless communication mode in the application mainly exists in the following communication scenarios: short communication distance, small wireless signal interference, small signal transmission amount and other scenarios in which it is inconvenient to arrange optical fiber communication. In the application, if not specially stated, the wireless communication mode is used for data transmission between the intelligent evaluation terminal and the attached sensor.

[0015] In the application, the wireless communication mode is used as a supplement to the optical fiber communication mode, and is arranged in scenarios in which it is inconvenient, inappropriate or unnecessary to arrange optical fiber communication. In the communication network of the whole system, the optical fiber communication and the wireless communication coexist and complement each other to form a hybrid communication mode.

[0016] The data transmission and communication mode between the plurality of intelligent evaluation terminals in the application need to be flexibly selected according to specific requirements and scene needs, and the optical fiber communication mode or the wireless communication mode can be selected.

[0017] The intelligent evaluation terminal in the application contains necessary communication modules in the internal part, and can complete the predetermined optical fiber wireless hybrid communication function. In addition, the intelligent evaluation terminal reserves necessary interfaces, and provides hardware conditions for later modification and hanging of external communication modules.

[0018] The airborne distributed PHM intelligent evaluation management system in the application can be configured in a master-slave mode or a master-master mode in terms of topology structure and control logic.

[0019] When the airborne distributed PHM intelligent evaluation system is configured in the master-slave mode, one intelligent evaluation terminal in the system is configured in a master mode, and the remaining intelligent evaluation terminals are configured in slave modes. The master communicates data with the evaluation management master computer, the terminal master and any slave can communicate data, the slaves cannot directly communicate data, and the slave cannot directly communicate data with the evaluation management master computer, and needs to first transmit data to the terminal master, and then transmit the data to the evaluation management master computer by the terminal master.

[0020] When the airborne distributed PHM intelligent evaluation management system is configured in the master-slave mode, the whole system is divided into three levels in the management and data communication level, the first level is the evaluation management master computer, which has the highest management authority and priority; the second level is the intelligent evaluation terminal host, which has lower authority and priority than the evaluation management master computer but higher than the intelligent evaluation terminal slave; the third level is the intelligent evaluation terminal slave, which has the lowest authority and priority in the system, and the authority and priority between any two slaves are the same.

[0021] When the airborne distributed PHM intelligent evaluation management system is configured in the master-master mode, all the intelligent evaluation terminals in the system are configured as master mode, and the levels of all the intelligent evaluation terminals are the same, and there is no subordinate relationship between any two terminals. Through the communication module attached to each terminal, any terminal can freely communicate with each other, and data communication can be carried out through the communication module and the intelligent evaluation management master computer.

[0022] When the airborne distributed PHM intelligent evaluation management system is configured in the master-master mode, the whole system is divided into two levels in the management and data communication level, the first level is the evaluation management master computer, which has the highest management authority and priority; the second level is the intelligent evaluation terminal, and the authority and priority of any two terminals are the same.

[0023] The distributed intelligent evaluation management system described in the application has a "distributed intelligent evaluation architecture" of "data multi-storage-equipment linkage-local autonomy-global cooperation". With the increase of the management level, the functions of "equipment linkage", "local autonomy" and "global cooperation" are realized in turn.

[0024] The airborne distributed PHM intelligent evaluation management system described in the application mainly includes an intelligent evaluation management master computer, a plurality of intelligent evaluation terminals and their attached sensors and communication networks. All the subsystems and devices in the above-mentioned airborne distributed PHM intelligent evaluation management system have close linkage relationship and strict organizational structure, and different devices need the linkage of peripheral or attached devices in the running process, which embodies the "equipment linkage" feature of the "distributed intelligent evaluation architecture".

[0025] The plurality of intelligent evaluation terminals and their attached sensors adopt a distributed arrangement mode and are arranged at the key signal acquisition and state monitoring positions of the airborne system, and the arrangement, control and management have distributed characteristics.

[0026] The sensors attached to the intelligent evaluation terminal are selected according to the key signals and state types to be collected, including but not limited to vibration signal sensors, acoustic sensors, pressure sensors, temperature sensors, infrared sensors, current sensors, voltage sensors, etc. The sensors attached to the intelligent evaluation terminal monitor the running state of the measured equipment in real time, collect parameter changes, and upload data to the intelligent evaluation terminal to which the sensors belong in real time.

[0027] The intelligent evaluation terminal receives the data uploaded by the sensors, runs data preprocessing algorithms and analysis and evaluation algorithms to complete data preprocessing, analysis and PHM evaluation tasks on the measured data. The intelligent evaluation terminal has data communication and transmission functions, and can transmit preprocessed data, evaluation results and other data to other intelligent evaluation terminals or intelligent evaluation management and control computers.

[0028] The entire airborne distributed PHM intelligent evaluation system includes intelligent evaluation terminals and intelligent evaluation management and control computers, which are both configured with large-capacity and high-reliability data storage devices. The airborne distributed PHM intelligent evaluation management system can periodically store data in a distributed and multi-location manner according to a pre-set period, embodying the "data multi-storage" feature of the "distributed intelligent evaluation architecture" described in the present application. The "data multi-storage" feature makes all terminals and control computers in the system exist as complete data storage nodes, and physical damage to a single node or a few nodes will not affect the data integrity of the entire system. The data distributed and multi-location storage method described in the present application can effectively reduce the risk of data loss and damage in a centralized storage manner.

[0029] The intelligent evaluation terminal has distributed computing and evaluation functions, and has a certain degree of autonomy, embodying the "local autonomy" feature of the "distributed intelligent evaluation architecture" described in the present application. The "local autonomy" feature is specifically manifested in that the entire airborne distributed PHM evaluation management system includes a plurality of intelligent evaluation terminals, and the intelligent evaluation terminals are generally arranged close to the installation positions of the airborne equipment. According to the installation positions of the airborne system and equipment, the intelligent evaluation terminals are distributed at various parts of the aircraft. According to the layout of the airborne intelligent evaluation terminals, the entire airborne system can be divided into a plurality of "autonomous areas". In each "autonomous area", the intelligent evaluation terminal can monitor, process, analyze and evaluate the state and characteristic parameters of the equipment in the "autonomous area", and can make autonomous evaluation and decision for the equipment in the "autonomous area". The "area autonomy" feature means that the intelligent evaluation terminal has a certain autonomous decision-making authority in its "autonomous area", and no longer completely relies on the decision of the upper computer or the intelligent evaluation management and control computer.

[0030] The "distributed" feature of the distributed intelligent evaluation architecture described in the application not only reflects in distributed signal detection, distributed data processing, distributed evaluation, distributed control, but also the distributed computing is an important "distributed" feature described in the application. In the hardware condition, the specific performance of the distributed computing feature is the distributed arrangement of computing power, shared allocation of computing power and resource collaborative deployment. The intelligent evaluation terminals have collaborative functions, which embodies the "global collaboration" feature of the "distributed intelligent evaluation architecture" described in the application, and the specific performance is the shared allocation of computing power and the collaborative calling of resources. The intelligent evaluation system described in the application adopts a distributed structure and layout, and the intelligent evaluation management master computer and some intelligent evaluation terminals in the system have computing and data processing capabilities. Each intelligent evaluation terminal can be set as a computing power node, and all distributed intelligent evaluation terminals constitute a large, powerful distributed intelligent evaluation system.

[0031] The management strategy and principle of the intelligent evaluation management system described in the application can be used alone or in combination to manage and deploy the computing power and resources of the entire system.

[0032] 1) Allowable response time principle

[0033] The allowable response time principle is that the distributed intelligent evaluation management system periodically sends standard data packets to each intelligent evaluation terminal and tests its response time. By testing the response time of each distributed intelligent terminal for computing standard data packets and returning result data, the task response speed of each intelligent evaluation terminal in the distributed intelligent evaluation management system is quantified.

[0034] According to the rules, the computing tasks of the intelligent evaluation terminal with slow response speed and response time exceeding the limit are transferred to the terminal closest to it to alleviate the problem of unbalanced allocation of intelligent evaluation management system computing tasks.

[0035]

[0036] Where, td i represents the response time of the i-th intelligent evaluation terminal, td a0 is the normal operation allowable response time, td a1 , td a2 , td a3 are the first, second and third level computing power transfer allowable response time respectively.

[0037] When the response time of a certain intelligent evaluation terminal to a standard data packet is less than the normal operation allowable response time td a0 , the terminal is in normal operation and no operation power transfer operation is performed.

[0038] When the response time of a certain intelligent evaluation terminal to a standard data packet is greater than the normal operation allowable response time td a0 , but less than the first-level operation power transfer allowable response time td a1 , the terminal is in a first-level operation power congestion state and performs operation power transfer operation to transfer 20% of its operation tasks to the nearest terminal.

[0039] When the response time of a certain intelligent evaluation terminal to a standard data packet is greater than the first-level operation power transfer allowable response time td a1 , but less than the second-level operation power transfer allowable response time td a2 , the terminal is in a second-level operation power congestion state and performs operation power transfer operation to transfer 50% of its operation tasks to the nearest terminal.

[0040] When the response time of a certain intelligent evaluation terminal to a standard data packet is greater than the second-level operation power transfer allowable response time td a2 , but less than the third-level operation power transfer allowable response time td a3 , the terminal is in a third-level operation power congestion state and performs operation power transfer operation to transfer 80% of its operation tasks to the nearest terminal.

[0041] When the response time of a certain intelligent evaluation terminal to a standard data packet is greater than the third-level operation power transfer allowable response time td a3 , the terminal is in a fourth-level operation power congestion state and performs operation power transfer operation to transfer all of its operation tasks to the nearest terminal.

[0042] 2) Allowable occupancy rate principle

[0043] The allowable occupancy rate principle is that the distributed intelligent evaluation management system periodically tests the operation power resource occupancy rate of each intelligent evaluation terminal, thereby quantifying the operation power occupancy of each intelligent evaluation terminal in the distributed intelligent evaluation management system.

[0044]

[0045] wherein ROC i represents the operation power occupancy rate of the i-th intelligent evaluation terminal, ROC a0 represents the normal operation allowable occupancy rate, ROC a1 , ROC a2 , and ROC a3 respectively represent the first-level, second-level, and third-level allowable occupancy rates.

[0046] When the ROC of a certain intelligent evaluation terminal is less than the ROC i , the terminal is running normally, and no operation of power transfer is performed on it. a0

[0047] When the ROC of a certain intelligent evaluation terminal is greater than the ROC i , but less than the ROC a0 , the terminal is in a first power occupancy state, and 20% of its operation tasks are transferred to the nearest terminal. a1

[0048] When the ROC of a certain intelligent evaluation terminal is greater than the ROC i , but less than the ROC a1 , the terminal is in a second power occupancy state, and 30% of its operation tasks are transferred to the nearest terminal. a2

[0049] When the ROC of a certain intelligent evaluation terminal is greater than the ROC i , but less than the ROC a2 , the terminal is in a third power occupancy state, and 40% of its operation tasks are transferred to the nearest terminal. a3

[0050] When the ROC of a certain intelligent evaluation terminal is greater than the ROC i , the terminal is in a fourth power occupancy state, and 50% of its operation tasks are transferred to the nearest terminal. a3

[0051] 3) Allowable transmission error rate principle

[0052] The allowable transmission error rate principle is that two adjacent intelligent evaluation terminals of the distributed intelligent evaluation management system periodically send standard data packets to each other, receive the returned data of the receiving terminal and count the result error rate. By testing the error rate of each distributed intelligent terminal computing standard data packets and returning result data, the data transmission quality between each intelligent evaluation terminal in the distributed intelligent evaluation management system is measured.

[0053] According to the rule, the data transmission path between the intelligent evaluation terminals with a transmission error rate exceeding the limit is shielded to reduce the data loss, distortion and other errors that may occur when the data path fails.

[0054] ​​​​​

[0055] wherein RER i-k represents the data transmission error rate between the intelligent evaluation terminal with number i and the intelligent evaluation terminal with number k, and RER a represents the system allowable error rate.

[0056] When the data transmission error rate RER i-k between the intelligent evaluation terminal with number i and the intelligent evaluation terminal with number k is lower than the system allowable transmission error rate RER a , the data transmission path is in a normal state, and no operation is needed.

[0057] When the data transmission error rate RER i-k between the intelligent evaluation terminal with number i and the intelligent evaluation terminal with number k is higher than the system allowable transmission error rate RER a , the data transmission path is in a transmission fault state, and a shielding operation is performed on the fault path.

[0058] 4) System overall minimum energy consumption principle

[0059] The three principles described above are threshold-based computing power allocation and resource coordination strategies, and the system overall minimum energy consumption principle is a kind of optimization problem with certain constraints.

[0060] The energy consumption calculation formula of a certain electrical equipment in a certain period is as follows:

[0061] E i = P i · Δt (4)

[0062] wherein there is a certain relationship between the energy consumption of the intelligent evaluation terminal and the computing power usage rate thereof, and the relationship is represented as:

[0063]

[0064] The intelligent evaluation system described in the application comprises N intelligent evaluation terminals, and the total energy consumption of the entire intelligent evaluation management system is represented as:

[0065]

[0066] The constraint condition is:

[0067] g i (x) ≤ 0, i = 1, 2, … N (7)

[0068] Specifically:

[0069] g i (x) = x i - 100%, i = 1, 2, …, N (8)

[0070] The above formula represents a constraint condition that the computing power of each intelligent evaluation terminal is not more than 100%.

[0071] According to the above constraint condition, the computing power occupation rate variable x = [x1 x2…x N ] T Optimization calculation is performed to obtain the optimal value x * , that is, the intelligent evaluation terminal computing power occupation rate optimization problem satisfying the overall minimum energy consumption target of the system under the constraint of a specific constraint condition is solved.

[0072] The pretreatment method is:

[0073] Due to the periodicity and phasicity of some features of airborne systems and equipment, such as vibration signals, if the original data is not preprocessed, the proportion of effective data is small, the total amount of data is too large, and the computing power of the intelligent evaluation terminal is wasted, and in serious cases, the feature extraction operation may be affected. Therefore, in order to solve the above problems, the original data needs to be preprocessed by using the intelligent evaluation terminal to intercept the characteristic data segment and improve the proportion of effective data. The data preprocessing method of the intelligent evaluation terminal involved in the present application adopts a window function method.

[0074] The type of window function involved in the data preprocessing method of the present application needs to be selected according to specific characteristic parameters, and the window function described in the present application includes but is not limited to a rectangular window function, a HAMMING window function and a flat-top window function, etc. (1) The time-domain expression form of the rectangular window function is:

[0075]

[0076] Where the range of the time window is 0≤t≤T, and the window function of other time ranges is 0.

[0077] (2) The time-domain expression form of the HAMMING window function is:

[0078]

[0079] Where the range of the time window is 0≤t≤T;

[0080] (3) The time-domain expression form of the flat-top window function is:

[0081]

[0082] Where the range of the time window is 0≤t≤T;

[0083] The range of the above three window functions is set according to the actual situation.

[0084] The intelligent evaluation management master control computer has functions of evaluation management, system configuration, man-machine interaction, data transmission and the like. The evaluation management function refers to, after receiving the pre-processing data or distributed evaluation results uploaded by the intelligent evaluation terminal, performing operation processing on the pre-processing data and the distributed evaluation results by running the evaluation management algorithm, so as to obtain the health level and the fault state evaluation result of the whole system under test.

[0085] The system configuration function refers to configuring and modifying the software topology structure and parameters of the whole evaluation system by using the intelligent evaluation management master control computer, so as to adjust and change the software topology structure and parameter configuration of the intelligent evaluation system.

[0086] The man-machine interaction function refers to completing the man-machine interaction functions such as measured data display, evaluation result display, data import and export, system parameter setting and the like through the man-machine interaction interface of the intelligent evaluation management master control computer.

[0087] The data transmission function refers to that the intelligent evaluation management master control computer can be used as an intermediate forwarding node for data transmission and interaction between two intelligent evaluation terminals.

[0088] Compared with the intelligent evaluation terminal, the intelligent evaluation management master control computer has great advantages in computing power, so the intelligent evaluation management master control computer can run more complex intelligent evaluation management algorithms with higher demand for computing power.

[0089] The intelligent evaluation management algorithm disclosed by the application includes but is not limited to a threshold-based algorithm, a fuzzy comprehensive evaluation-based algorithm, a weighting evaluation algorithm based on distributed evaluation results and the like.

[0090] (1) Threshold-based algorithm

[0091] The threshold-based algorithm disclosed by the application screens out the parameters having a greater correlation degree with the health level from a plurality of state parameters as the PHM characteristic parameters of the airborne system by using the correlation analysis method based on the research on the historical data of the airborne equipment accumulated in the previous research, and establishes the correlation research between the characteristic parameters of the airborne equipment and the health level, sets the parameter threshold corresponding to different health levels, so as to realize the purpose of evaluating the health level of the airborne system and equipment by using the characteristic parameters.

[0092] The threshold-based algorithm mainly includes the following steps: 1) correlation analysis and screening of characteristic parameters; 2) setting of the threshold corresponding to different health levels; and 3) evaluation of the health state of the system and equipment.

[0093] 1) Correlation analysis and screening of characteristic parameters

[0094] The Pearson correlation coefficient ρ(X i ,H iQuantitatively describe a parameter X of an airborne system or equipment. i The degree of linearity and direction of correlation with health level H.

[0095] The formula for calculating the Pearson correlation coefficient is as follows:

[0096]

[0097] Among them, X i H is the i-th parameter. i This represents the health level data of the i-th individual.

[0098] The correlation ρ(X,H) between n parameters and health levels is evaluated. Parameters with a correlation ρ(X,H) less than 0.6 are removed, and parameters with a correlation ρ(X,H) greater than 0.6 are used as feature parameters and form a feature parameter vector X = (X1, X2, ..., X...). m The feature parameter vector has a dimension of m.

[0099] 2) Set thresholds corresponding to different health levels.

[0100] The health status of airborne systems is divided into five levels: Excellent, Good, Poor, Very Poor, and Failure. These five health levels correspond to five threshold vectors, denoted as X. th1 ,X th2 ,X th3 ,X th4 ,X th5 Specifically, it is expressed as:

[0101] X th1 =(X th1-1 ,X th1-2 ,…,X th1-m (13)

[0102] X th2 =(X th2-1 ,X th2-2 ,…,X th2-m (14)

[0103] X th3 =(X th3-1 ,X th3-2 ,…,X th3-m (15)

[0104] X th4 =(X th4-1 ,X th4-2 ,…,X th4-m (16)

[0105] X th5 =(X th5-1 ,Xth5-2 ,…,X th5-m ) (17)

[0106] 3) Assessing system, device health status

[0107] Compute the difference of the feature vector X = (X1, X2,..., X m ) and the five threshold vectors, respectively, and denote the results as:

[0108] X' th1 = X - X th1 = (X1- X th1-1 , X2- X th1-2 ,..., X m - X th1-m ) (18)

[0109] X' th2 = X - X th2 = (X1- X th2-1 , X2- X th2-2 ,..., X m - X th2-m ) (19)

[0110] X' th3 = X - X th3 = (X1- X th3-1 , X2- X th3-2 ,..., X m - X th3-m ) (20)

[0111] X' th4 = X - X th4 = (X1- X th4-1 , X4- X th4-2 ,..., X m - X th4-m ) (21)

[0112] X' th5 = X - X th5 = (X1- X th5-1 , X2- X th5-2 ,..., X m - X th5-m ) (22)

[0113] Determine if all elements in X' th1 , X' th2 , X' th3 , X' th4 , X' th5 are less than 0, respectively. If there is an element less than 0 in the vector, determine the next vector until a vector X' thi is found where all elements are greater than 0.If (i = 1, 2, 3, 4, 5), then the health status of the airborne system is X'. thi The corresponding health level.

[0114] (2) Algorithm based on fuzzy comprehensive evaluation

[0115] The fuzzy comprehensive evaluation algorithm mainly includes three steps: 1) determining evaluation factors and evaluation levels; 2) constructing the evaluation matrix and determining the weights; 3) fuzzy synthesis and decision generation.

[0116] 1) Determine the evaluation factors and evaluation levels

[0117] Let the set of evaluation index factors for airborne systems be U = {u1, u2, ..., u}. m The evaluation index factor set consists of m factors characterizing the health status of airborne systems and equipment; let the evaluation level decision set be V = {v1, v2, ..., v...}. n} represents n decisions that characterize the state of each factor; where m is the number of evaluation factors, determined by a specific indicator system; and n is the number of evaluation results, generally divided into three to five levels.

[0118] 2) Construct the evaluation matrix and determine the weights

[0119] First, consider the single-factor u. i (i = 1, 2, ..., m) Perform a single-factor evaluation, considering factor u i Focusing on the evaluation level v of this thing j The membership degree of (j = 1, 2, ..., n) is r ij That is, the i-th factor u has been completed. i Single-factor rating set:

[0120] r i =(r i1 ,r i1 ,…,r in ) (twenty three)

[0121] For each of the m evaluation factors, construct a corresponding single-factor evaluation set, and combine the single-factor evaluation sets to form the overall evaluation matrix R:

[0122]

[0123] The overall evaluation matrix R represents the fuzzy relationship from U to V determined for each type of equipment in the airborne system.

[0124] In addition, in actual evaluation, the same type of equipment in an airborne system has different levels of importance in different subsystems, and different subsystems have different emphases on evaluation indicators. Therefore, it is necessary to determine the weight vector A of the evaluation indicators for different subsystems.

[0125] A = (a1, a2, ..., a m (25)

[0126] Wherein, weighting factor a i >> 0, and ∑a i =1.

[0127] 3) Fuzzy synthesis and generative decision

[0128] The row elements in the overall evaluation matrix R represent the degree of membership of a certain airborne system equipment to each level of fuzzy subset from the perspective of different individual evaluation factors. The different rows are combined using the fuzzy weight vector A to finally obtain the degree of membership of the airborne system equipment to each level of fuzzy subset from the overall perspective, that is, the fuzzy comprehensive evaluation result vector.

[0129] Introduce a fuzzy subset B on V, which is called the fuzzy evaluation and decision set.

[0130] B = (b1, b2, ..., b n (26)

[0131] The fuzzy subset B is obtained after fuzzy transformation:

[0132] B = A * R (27)

[0133] Where * represents the operator symbol.

[0134] After obtaining the fuzzy comprehensive evaluation result set B, the maximum membership rule is used to process it, and the evaluation result with the highest degree is selected from the fuzzy comprehensive evaluation result set B, thus obtaining the PHM evaluation result for the airborne system.

[0135] (3) Weighted evaluation algorithm based on distributed evaluation results

[0136] The weighted evaluation algorithm based on distributed evaluation results described in this invention mainly runs on the intelligent evaluation management central control computer and the intelligent evaluation terminal acting as the host computer in master-slave mode. The source data processed by the weighted evaluation algorithm based on distributed evaluation results is the distributed evaluation results obtained by each distributed evaluation terminal through calculation. Therefore, this invention can only run on the above two types of devices.

[0137] The weighted evaluation algorithm based on distributed evaluation results described in this invention mainly includes the following three steps: 1) constructing a distributed evaluation result matrix; 2) establishing a weight factor vector; 3) weighting operation and completing the evaluation.

[0138] 1) Construct a distributed evaluation result matrix

[0139] Suppose the whole airborne intelligent evaluation management system contains n distributed evaluation terminals. Then the distributed evaluation result vector generated by the ith intelligent evaluation terminal is:

[0140] C i =(c i1 ,c i2 ,…,c ij ),(0≤c ij ≤1;i=1,2,…,n;j=1,2,…) (28)

[0141] Wherein, c ij represents the health status of the jth equipment under the management of the ith intelligent evaluation terminal, and the value range of c ij is [0, 1], 0 represents complete failure, and 1 represents that the equipment is not degraded.

[0142] In addition, the number of elements in the distributed evaluation result vector may not be consistent, and the n vectors cannot be directly combined to form a matrix. It is necessary to format the distributed evaluation result vector, that is, to uniformly process the dimensions of all distributed evaluation result vectors, and to uniformly make the dimensions of all distributed evaluation result vectors m dimensions, m being the maximum dimension of all distributed evaluation result vectors, and the vectors with insufficient number of elements are supplemented with "0".

[0143] The formatted distributed evaluation result vector is represented as:

[0144] C i =(c i1 ,c i2 ,…,c im ),(i=1,2,…,n) (29)

[0145] Wherein, m is the maximum dimension of all distributed evaluation result vectors.

[0146] The n distributed evaluation result vectors C i are combined into a distributed evaluation result matrix C:

[0147]

[0148] 2) Establish the weight factor vector

[0149] The distributed evaluation result matrix C represents the evaluation results of different evaluation terminals on the equipment in their "autonomous regions". For the evaluation results of the whole airborne system, the importance of the "autonomous region" where different evaluation terminals are located is different, so the weight factor given is also different. After the construction of the distributed evaluation result matrix C, the weight factor vector is constructed:

[0150] W=(w1,w2,…,wn) (30)m T (31)

[0151] wherein the weight factor w i > 0, and ∑w i = 1.

[0152] The size of the weight factor in the weight factor vector is determined according to the importance of the "autonomous area" in which the different intelligent evaluation terminals are located.

[0153] 3) Weighted operation and completion of evaluation

[0154] After the construction of the distributed evaluation result matrix and the weight factor vector, a weighted operation is performed on the distributed evaluation result matrix to obtain a comprehensive evaluation result matrix S:

[0155]

[0156] wherein s i represents the health level status of the equipment in the "autonomous area" in which the i-th intelligent evaluation terminal is located.

[0157] All elements in the comprehensive evaluation result matrix S are normalized so that ∑s i = 1, to obtain a normalized comprehensive evaluation result matrix S', that is, the weighted evaluation based on the distributed evaluation result is completed.

[0158] The beneficial effects brought by the above technical solution are as follows:

[0159] The airborne distributed PHM intelligent evaluation management system based on optical fiber and wireless hybrid communication proposed by the application can be widely applied to various airborne systems and has good universal applicability.

[0160] The airborne distributed PHM intelligent evaluation management system based on optical fiber and wireless hybrid communication proposed by the application has the characteristics of distributed monitoring and control, flexible topology arrangement, and good adjustment, modification and optimization conditions.

[0161] The airborne distributed PHM intelligent evaluation management system based on optical fiber and wireless hybrid communication proposed by the application uses optical fiber and wireless hybrid communication mode for internal communication, flexibly selects and arranges the system communication mode according to data communication requirements and airborne environment, and can fully exert the advantages of optical fiber communication and wireless communication and complement each other.

[0162] The airborne distributed PHM intelligent evaluation management system based on optical fiber and wireless hybrid communication proposed by the application can be configured into a three-level or two-level mode according to the use requirements, that is, an upper computer mode and a no upper computer mode, the system configuration topology is flexible and diverse, and can be applied to most of the fault prediction and health management evaluation tasks of airborne systems.​ Attached Figure Description

[0163] One or more embodiments are illustrated by way of example with reference to the accompanying drawings. These illustrations and drawings do not constitute a limitation on the embodiments. Elements having the same reference numerals in the drawings are shown as similar elements. The drawings are not to be scaled. And wherein:

[0164] Figure 1 It is a distributed master-slave mode PHM intelligent evaluation terminal topology;

[0165] Figure 2 It is a distributed master-master mode PHM intelligent assessment terminal topology;

[0166] Figure 3 This is a specific embodiment of a distributed master-slave mode PHM intelligent assessment management system;

[0167] Figure 4 This is a specific implementation of a distributed master-master mode PHM intelligent assessment and management system. Detailed Implementation

[0168] To make the objectives, technical solutions, and advantages of this application clearer, the application is described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0169] Obviously, the accompanying drawings described below are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar scenarios based on these drawings without any inventive effort. Furthermore, it is understood that although the efforts made in this development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, any changes to design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as insufficient disclosure of the content of this application.

[0170] In this application, the reference to "embodiment" means that a specific feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0171] Unless otherwise defined, technical terms and scientific terms used in the present application shall have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. The terms "a", "an", "one", "this", and similar referents in the context of describing the application are to be construed to be inclusive, both singular and plural, unless otherwise indicated. The terms "comprising", "comprises" and "comprised of" as well as conjugations thereof, are used synonymously with the term "including" or "containing" and are intended to be open-ended, allowing for the possibility that the process, method, system, product or apparatus that "comprises", "comprises" or "comprised of" additional steps, processes, features, structures, materials or components beyond those that are listed.

[0172] The application will be further described in conjunction with the embodiments, drawings:

[0173] Figure 1 and Figure 2 Three distributed intelligent evaluation terminals (No. 1, No. 2, No. 3) are shown in Figure 1 and Figure 2 Only the signal and organization topology form between the intelligent evaluation terminals and the intelligent evaluation terminals, the intelligent evaluation terminals and the intelligent evaluation management host are shown and described, and it does not mean that the application only contains three intelligent evaluation terminals. The number of intelligent evaluation terminals can be increased or decreased according to the needs, the maximum number is determined according to the system and host carrying capacity, and the minimum number is two. Specific embodiment 1:

[0175] In this embodiment, the management level of the intelligent evaluation management system is configured as a three-layer structure, that is, the intelligent evaluation management terminal is configured as a master-slave mode, as shown in Figure 1 The "distributed intelligent evaluation terminal No. 1" is selected as the host, and the "distributed intelligent evaluation terminal No. 2" and the "distributed intelligent evaluation terminal No. 3" are selected as the slave. At this time, in the management level, the intelligent evaluation management master computer is the first level, the intelligent evaluation terminal host is the second level, and the intelligent evaluation terminal slave is the third level.

[0176] The third layer of the intelligent evaluation terminal slave realizes the functions of data acquisition, data preprocessing, data analysis, and state evaluation.

[0177] The second layer of the intelligent evaluation terminal host realizes the functions of data acquisition, data preprocessing, data analysis, state evaluation, delivery control instruction, data relay transmission, etc.

[0178] The first level of the intelligent evaluation management master computer realizes the functions of evaluation management, system configuration, human-computer interaction, data transmission, etc.

[0179] The evaluation management function refers to receiving the pre-processing data or distributed evaluation results uploaded by the intelligent evaluation terminal, and performing operation processing on the pre-processing data and the distributed evaluation results by running the evaluation management algorithm, so as to obtain the health level and the fault state evaluation result of the entire system under test.

[0180] The system configuration function refers to configuring and modifying the software topology and parameters of the entire evaluation system by the intelligent evaluation management master computer, so as to adjust and change the software topology and parameter configuration of the intelligent evaluation system.

[0181] The man-machine interaction function refers to completing the man-machine interaction functions such as measured data display, evaluation result display, data import and export, system parameter setting, etc. through the man-machine interaction interface of the intelligent evaluation management master computer.

[0182] The data transmission function refers to that the intelligent evaluation management master computer can be used as an intermediate forwarding node for data transmission and interaction between two intelligent evaluation terminals.

[0183] When communication needs to be generated between the two devices of the third level, the two slaves cannot directly transmit data and communicate, and need to first transmit the data from the signal sending slave to the master of the second level, and then transmit the data from the master of the second level to the signal receiving slave of the third level. Specific embodiment 2:

[0185] In this embodiment, the management level of the intelligent evaluation management system is configured as a two-level structure, that is, the intelligent evaluation management terminal is configured as a master-master mode, as shown in Figure 2 “Distributed intelligent evaluation terminal No. 1”, “Distributed intelligent evaluation terminal No. 2” and “Distributed intelligent evaluation terminal No. 3” are all configured as master mode. At this time, in the management level, the intelligent evaluation management master computer is the first level, and the intelligent evaluation terminal is the second level.

[0186] Similar to specific embodiment 1, the intelligent evaluation terminal of the second level realizes data acquisition, data preprocessing, data analysis, state evaluation, delivery control instruction, data relay transmission and other functions.

[0187] Similar to specific embodiment 1, the intelligent evaluation management master computer of the first level realizes the functions of evaluation management, system configuration, man-machine interaction, data transmission, etc.

[0188] In this mode, all distributed intelligent assessment terminals operate in master mode. When communication is needed between two intelligent assessment terminals at the second level, the two slave terminals can directly transmit and communicate data, with data flowing directly from the sender to the receiver. This eliminates the need to first transmit data from the signal-sending slave to the master at the second level, and then for the master to transmit the data to the signal-receiving slave at the third level. Specific Implementation Example 3:

[0190] Figure 3 This is a specific implementation of a distributed master-slave mode PHM intelligent assessment management system, such as... Figure 3 As shown, in Example 2, the system is configured in master-slave mode. Distributed intelligent evaluation terminal No.1 is configured as the host computer, which is the second level in the management hierarchy; distributed intelligent evaluation terminal No.2 and distributed intelligent evaluation terminal No.3 are configured as slave computers, which are the third level in the management hierarchy; and the management hierarchy of the intelligent evaluation management control computer is the first level.

[0191] In this embodiment, communication between the first and second layers uses fiber optic communication, while communication between the second and third layers uses a hybrid fiber optic and wireless communication method. Specifically, distributed intelligent evaluation terminal No.1 and distributed intelligent evaluation terminal No.2 communicate via fiber optics, and distributed intelligent evaluation terminal No.1 and distributed intelligent evaluation terminal No.3 communicate wirelessly. Each distributed intelligent evaluation terminal communicates wirelessly with its associated sensors. Specific Implementation Example 4:

[0193] Figure 4 This is a specific embodiment of a distributed master-master mode PHM intelligent assessment management system, demonstrating how... Figure 4 As shown, in Example 4, the system is configured in master-master mode. In terms of management level, the entire system is divided into two levels. Distributed intelligent evaluation terminal No.1, distributed intelligent evaluation terminal No.2 and distributed intelligent evaluation terminal No.3 are configured as hosts, which is the second level in the management level; the management level of the intelligent evaluation management control computer is the first level.

[0194] In this embodiment, the communication between the first level and the second level uses the optical fiber communication mode, and the communication between the second levels uses the optical fiber and wireless hybrid communication mode. The communication between the distributed intelligent evaluation terminal No. 1 and the distributed intelligent evaluation terminal No. 3 uses the optical fiber communication mode, the communication between the distributed intelligent evaluation terminal No. 1 and the distributed intelligent evaluation terminal No. 2, and the communication between the distributed intelligent evaluation terminal No. 2 and the distributed intelligent evaluation terminal No. 3 use the wireless communication mode. The communication between the distributed intelligent evaluation terminal No. 1, No. 2 and the sensors attached thereto uses the wireless communication mode, the communication between the distributed intelligent evaluation terminal No. 3 and the sensors No. 3-1 and No. 3-2 attached thereto uses the wireless communication mode; due to the problems of data transmission requirements, electromagnetic interference and the like, the wireless communication mode is not suitable for the communication between the distributed intelligent evaluation terminal No. 3 and the sensors No. 3-3 and No. 3-N attached thereto, and the communication between the above-mentioned devices uses the optical fiber communication mode. Specific embodiment 5:

[0196] The computing power sharing allocation and resource collaborative calling management strategy of the airborne distributed PHM intelligent evaluation management system described in the application mainly follows the following principles: 1) allowable response time principle, 2) allowable occupancy rate principle, 3) allowable transmission error rate principle and 4) system overall minimum energy consumption principle.

[0197] In this embodiment, the allowable response time principle is used to manage the computing power and resources. In this embodiment, the normal operation allowable response time td a0 is set to 10ms, the first-level, second-level and third-level computing power transfer allowable response time td a1 , td a2 and td a3 are 50ms, 100ms and 300ms respectively. The distributed intelligent evaluation management system periodically sends standard data packets to each intelligent evaluation terminal every 10 seconds and tests the response time. The response time of the intelligent evaluation terminal No. 2 is 30ms, which is in the first-level computing power congestion state, and the computing power transfer operation is performed to transfer 20% of the operation tasks to the nearest intelligent evaluation terminal No. 3. After a period of time, the response time of the intelligent evaluation terminal No. 2 is tested again, and the response time is 8ms, which is in the normal working state, and the computing power does not need to be transferred, and the operation tasks previously transferred to the intelligent evaluation terminal No. 3 are recovered. Specific embodiment 6:

[0199] The computing power sharing allocation and resource collaborative calling management strategy of the airborne distributed PHM intelligent evaluation management system described in the application mainly follows the following principles: 1) allowable response time principle, 2) allowable occupancy rate principle, 3) allowable transmission error rate principle and 4) system overall minimum energy consumption principle.

[0200] The present embodiment uses the allowable occupancy principle to manage computing power and resources. ROC2 represents the computing power occupancy of the intelligent evaluation terminal No. 2, and the normal operation allowable occupancy ROC a0 Set to 90% respectively represent the first, second, third allowable occupancy, ROC a1 , ROC a2 , ROC a3 are 95%, 98% and 100% respectively. The computing power occupancy ROC2 of the tested intelligent evaluation terminal No. 2 is 94%, in the first computing power occupancy state, and 20% of its operation tasks are transferred to the nearest intelligent evaluation terminal No. 3. After a period of time, the computing power occupancy ROC2 of the tested intelligent evaluation terminal No. 2 is 98%, in the third computing power occupancy state, and 40% of its operation tasks are transferred to the nearest intelligent evaluation terminal No. 3. Specific embodiment 7:

[0202] The computing power sharing and distribution, resource collaborative calling management strategy of the airborne distributed PHM intelligent evaluation management system described in the present application mainly follows: 1) the allowable response time principle, 2) the allowable occupancy principle, 3) the allowable transmission error rate principle, and 4) the system overall minimum energy consumption principle. The management strategy and principle can be used alone or in combination to manage and allocate the computing power and resources of the entire system. The allowable transmission error rate principle and the system overall minimum energy consumption principle are used in combination.

[0203] In the present embodiment, there is one intelligent evaluation management master computer, four intelligent evaluation terminals No. 1, No. 2, No. 3 and No. 4. Among them, RER 3-4 represents the data transmission error rate between intelligent evaluation terminals No. 3 and No. 4, and the system allowable error rate RER a is set to 1%, and the occupancy rates of the four intelligent evaluation terminals at a certain moment are 30%, 23%, 56% and 15% respectively. After testing, RER 3-4 is 0.5%, in a normal state and does not need to be shielded between the data paths of intelligent evaluation terminals No. 3 and No. 4; at the same time, according to the system overall minimum energy consumption principle, the occupancy rates of the four intelligent evaluation terminals are adjusted to 27%, 26%, 41% and 30%. Specific embodiment 8:

[0205] The present embodiment illustrates the data preprocessing and evaluation management algorithm.

[0206] In the present embodiment, the intelligent evaluation terminal is responsible for evaluating the health state of the aviation contactor.

[0207] The intelligent evaluation terminal pre-processes the original data collected by it, the pre-processing uses a rectangular window function, the rectangular window time window is set to 0≤t≤1S, and the time window length is 1S. After completing the data processing, all the pre-processed data is uploaded to the intelligent evaluation management master computer, and the intelligent evaluation management master computer uses a threshold-based algorithm.

[0208] First, the correlation coefficient is constructed, and the parameters with a correlation coefficient greater than 0.6 are selected as characteristic parameters. In this embodiment, the contact resistance R and the action amplitude V of the aviation contactor are selected as characteristic parameters, and a characteristic parameter vector X=(R, V) is constructed.

[0209] The health level state of the airborne system is divided into five levels, namely, excellent, good, poor, very poor and failure, and the five health level levels correspond to five threshold vectors, respectively denoted as X th1 ,X th2 ,X th3 ,X th4 ,X th5 , specifically: X th1 =(0.05,6), X th2 =(0.06,8), X th3 =(0.08,10), X th4 =(0.11,12), X th1 =(0.15,20).

[0210] The characteristic parameter vector X=(0.07, 10) is measured at a certain time, and X' th5 ,X' th4 ,X' th3 ,X' th2 ,X' th1 , wherein X' th2 =X-X th2 =(0.01, 0) All elements in the vector are greater than 0, and the health state of the measured device is in the X th2 corresponding level, that is, in a good state.

Claims

1. An airborne distributed PHM intelligent evaluation management system based on optical fiber wireless hybrid communication, characterized in that: The system topology is in the form of a distributed system; The intelligent evaluation management master computer is the highest level and manages and controls the distributed intelligent evaluation terminals; The plurality of intelligent evaluation terminals have distributed monitoring, data processing, data communication, analysis, management and evaluation functions; the distributed intelligent evaluation terminals have collaborative functions, such as computing power sharing and distribution, resource collaborative calling; the intelligent evaluation terminals have data communication and transmission functions and can transmit preprocessed data and evaluation result data to other intelligent evaluation terminals or the intelligent evaluation management master computer; The intelligent evaluation terminals are configured in a master-slave mode or a master-master mode; When the system is configured in the master-slave mode, the entire system management level includes three levels; When the system is configured in the master-master mode, the entire system management level includes two levels; The intelligent evaluation management algorithm further includes a weighting evaluation algorithm based on the distributed evaluation results, specifically as follows: 1) Constructing a distributed evaluation result matrix: Suppose that the entire airborne intelligent evaluation management system includes n distributed evaluation terminals, then the distributed evaluation result vector generated by the ith intelligent evaluation terminal is: C i = (c i1 ,c i2 ,…,c ij ),(0≤c ij ≤1; i = 1,2,…,n; j = 1,2,…) Wherein, c ij represents the health state of the jth device under the management of the ith intelligent evaluation terminal, c ij The value range of c is [0, 1], 0 represents complete failure, and 1 represents that the device is not degraded. The number of elements in the distributed evaluation result vector may not be consistent, so the n vectors are not directly combined to form a matrix. The distributed evaluation result vectors are formatted, that is, the dimensions of all the distributed evaluation result vectors are unified to m dimensions, m being the maximum dimension of all the distributed evaluation result vectors, and the elements of the vectors with insufficient number of elements are supplemented with "0"; The formatted distributed evaluation result vector is represented as: C i = (c i1 ,c i2 ,…,c im ),(i = 1, 2, …, n); Wherein, m is the maximum dimension of all the distributed evaluation result vectors; combining the n distributed evaluation result vectors C i combining into a distributed evaluation result matrix C: 2) Establishing a weight factor vector: After the construction of the distributed evaluation result matrix C, the weight factor vector is constructed: W = (w1, w2,..., w m ) T ; where the weight factors w i > 0, and ∑w i = 1. 3) Weighting operation and completion of evaluation: After the construction of the distributed evaluation result matrix and the weight factor vector, the weighting operation is performed on the distributed evaluation result matrix to obtain a comprehensive evaluation result matrix S: wherein s i represents the health level state of the equipment in the "autonomous region" where the ith intelligent evaluation terminal is located; all elements in the comprehensive evaluation result matrix S are normalized so that ∑s i = 1, obtaining the normalized comprehensive evaluation result matrix S', that is, completing the weighting evaluation based on the distributed evaluation results; The power sharing and distribution and resource collaborative calling management strategy of the airborne distributed PHM intelligent evaluation management system follows the principles of tolerable response time, tolerable occupancy rate, tolerable transmission error rate and overall minimum energy consumption of the system; The principle of tolerable transmission error rate is that the adjacent two intelligent evaluation terminals of the distributed intelligent evaluation management system periodically send standard data packets to each other; The data returned by the receiving terminal is counted to obtain the error rate; The error rates of the standard data packets and the returned result data of each distributed intelligent terminal are tested to measure the data transmission quality between the intelligent evaluation terminals in the distributed intelligent evaluation management system; According to the rules, the data transmission paths between the intelligent evaluation terminals with transmission error rates exceeding the limit are shielded to reduce the possibility of data loss and distortion when the data passes through a faulty data path; wherein RER i-k represents the data transmission error rate between the intelligent evaluation terminal numbered i and the intelligent evaluation terminal numbered k, RER a represents the system allowable error rate; When the data transmission error rate RER between the intelligent evaluation terminals with the number i and the number k is lower than the system allowed transmission error rate RER i-k , the data transmission path is in a normal state, and no operation is needed. a ​ When the data transmission error rate RER between the intelligent evaluation terminal with the number i and the intelligent evaluation terminal with the number k is higher than the system allowed transmission error rate RER i-k , the data transmission path is in a transmission failure state, and a shielding operation is performed on the failure path. a ​ 2. The airborne distributed PHM intelligent evaluation management system based on optical fiber and wireless hybrid communication according to claim 1, characterized in that: The system internal communication adopts a hybrid communication mode of optical fiber and wireless, and the communication between the intelligent evaluation management master control computer and the intelligent evaluation terminal adopts an optical fiber communication mode; The intelligent evaluation terminal and its attached sensors adopt a wireless communication mode; The data communication between the multiple intelligent evaluation terminals is in an optical fiber communication mode or a wireless communication mode.

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