CN115292501A

CN115292501A - Management method, device, equipment and readable storage medium of aircraft maintenance tool

Info

Publication number: CN115292501A
Application number: CN202211046801.2A
Authority: CN
Inventors: 王大军; 陈翔铎
Original assignee: Beijing Kailan Aviation Technology Co ltd
Current assignee: Beijing Kailan Aviation Technology Co ltd
Priority date: 2022-08-30
Filing date: 2022-08-30
Publication date: 2022-11-04

Abstract

Embodiments of the application provide a method, a device, equipment and a computer-readable storage medium for managing aircraft maintenance tools. The method comprises the steps of obtaining position data of an airplane to be repaired; generating a scene graph characteristic corresponding to the position data to be maintained of the airplane based on the position data to be maintained of the airplane; and matching the scene graph characteristics with a maintenance database to obtain a set of maintenance tools corresponding to the position data to be maintained of the airplane, and pushing the set of maintenance tools to related maintenance personnel. In this way, the management efficiency of aircraft repair tools is improved, and the human cost is reduced.

Description

Management method, device, equipment and readable storage medium of aircraft maintenance tool

Technical Field

Embodiments of the present application relate to the field of tool management, and in particular, to a method, an apparatus, a device, and a computer-readable storage medium for managing aircraft maintenance tools.

Background

The management of maintenance tools is the foundation of the aviation maintenance industry and is also an important guarantee for flight safety. An advanced maintenance management mode is an important embodiment of the aviation maintenance level. With the continuous development of the aviation industry, maintenance tool management also faces huge challenges. At present, most of domestic maintenance units of the engineering still use the traditional management mode, and the management mode has the characteristics of complex and time-consuming operation and low working efficiency; the information recording is difficult, and the data is easy to lose; the information quantity is large, the query is inconvenient, and the manual counting is easy to make mistakes.

The structure of aircraft is responsible for, and to different positions, required maintenance tool differs, how quick select required instrument from the maintenance tool of the numerous variety, improve maintenance tool's managerial efficiency simultaneously, is the problem that needs to solve at present urgently.

Disclosure of Invention

According to an embodiment of the present application, a management scheme for an aircraft service tool is provided.

In a first aspect of the present application, a method of managing aircraft service tools is provided. The method comprises the following steps:

acquiring position data to be maintained of an airplane;

generating scene graph characteristics corresponding to the position data to be maintained of the airplane based on the position data;

and matching the scene graph characteristics with a maintenance database to obtain a set of maintenance tools corresponding to the position data to be maintained of the airplane, and pushing the set of maintenance tools to related maintenance personnel.

Further, the generating of the scene graph feature corresponding to the position data to be repaired of the aircraft comprises:

and converting the fault data into a scene graph, wherein the scene graph is a data structure, each node represents an object, edges connecting the objects represent the affiliation, and all the objects in the scene graph and the affiliation between the objects are converted into an embedded vector by using a word embedding technology Skip-Gram network.

Further, the method also comprises the following steps:

extracting attention coefficients between the objects of the embedded vector through a CBOW model, and defining the attention coefficients as follows:

H _ij ＝δ(f[X′ _i ,Y′ _k ,X′ _j ])

wherein H _ij (H _ij E is Y's X t) represents an arbitrary side (X' _i ,Y′ _k ,X′ _j ) Middle object X' _j To object X' _i The contribution rate of (c);

the matrix f is used for converting all objects and relation vector sets in the scene graph into higher-level feature vectors, so that the scene graph has stronger expression capacity;

the delta Y ^′3Q →Y′，[X′ _i ,Y′ _k ,X′ _j ]Is to X' _i ,Y′ _k ,X′ _j Performing a stitching process, the output of each object node being described in the form of a weighted sum thereof with other objects:

further, the maintenance database is constructed by:

crawling an existing aircraft maintenance scheme of a relevant database through data mining;

generating an existing scene graph characteristic corresponding to the existing aircraft maintenance scheme based on the existing aircraft maintenance scheme;

embedding the characteristics of the existing scene graph into a phrase, mapping the characteristics to an N-dimensional space vector to generate maintenance data, and learning the maintenance data by using an antagonistic neural network to generate a new maintenance solution;

and summarizing the new maintenance solutions to obtain a maintenance database.

Further, after obtaining the set of repair tools corresponding to the position data to be repaired of the aircraft, the method further includes:

acquiring feedback opinions of a user;

and performing iterative processing on the maintenance database based on the feedback opinions, and perfecting an operation and maintenance decision suggestion template in the maintenance database.

In a second aspect of the present application, a selection device for an aircraft service tool is provided. The device comprises:

the acquisition module is used for acquiring position data to be maintained of the airplane;

the generating module is used for generating a scene graph characteristic corresponding to the position data to be maintained of the airplane based on the position data;

and the selecting module is used for matching the scene graph characteristics with a maintenance database to obtain a set of maintenance tools corresponding to the position data to be maintained of the airplane.

Further, the method also comprises the following steps:

H _ij ＝δ(f[X′ _i ,Y′ _k ,X′ _j ])

the delta is Y ^′3Q →Y′，[X′ _i ,Y′ _k ,X′ _j ]Is to X' _i ,Y′ _k ,X′ _j Performing a stitching process, the output of each object node being described in the form of a weighted sum thereof with other objects:

in a third aspect of the present application, an electronic device is provided. The electronic device includes: a memory having a computer program stored thereon and a processor implementing the method as described above when executing the program.

In a fourth aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the method as according to the first aspect of the present application.

According to the management method of the aircraft maintenance tool, the position data of the aircraft to be maintained are obtained; generating scene graph characteristics corresponding to the position data to be maintained of the airplane based on the position data; and matching the scene graph characteristics with a maintenance database to obtain a maintenance tool set corresponding to the position data to be maintained of the airplane, and pushing the maintenance tool set to related maintenance personnel, so that the efficient management of the airplane maintenance tools is realized, and the labor cost is greatly reduced.

It should be understood that the statements described in this summary are not intended to limit the scope of the disclosure, or the various features described in this summary. Other features of the present application will become apparent from the following description.

Drawings

The above and other features, advantages and aspects of various embodiments of the present application will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:

fig. 1 shows a system architecture diagram in accordance with a method provided by an embodiment of the present application.

FIG. 2 shows a flow chart of a method of managing aircraft maintenance tools according to an embodiment of the application;

FIG. 3 shows a block diagram of an arrangement for managing aircraft maintenance tools according to an embodiment of the application;

fig. 4 shows a schematic structural diagram of a terminal device or a server suitable for implementing the embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions in the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without inventive step, are intended to be within the scope of the present disclosure.

In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship.

Fig. 1 shows an exemplary system architecture 100 to which embodiments of the aircraft service tool management method or aircraft service tool management apparatus of the present application may be applied.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. Various communication client applications, such as a model training application, a video recognition application, a web browser application, social platform software, etc., may be installed on the

terminal devices

101, 102, 103.

The

terminal apparatuses

101, 102, and 103 may be hardware or software. When the

terminal devices

101, 102, 103 are hardware, they may be various electronic devices with display screens, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, motion Picture Experts Group Audio Layer IV, motion Picture Experts Group Audio Layer 4) players, laptop portable computers, desktop computers, and the like. When the

terminal devices

101, 102, 103 are software, they can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules used to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.

When the

terminal devices

101, 102, 103 are hardware, a video capture device may be installed thereon. The video acquisition equipment can be various equipment capable of realizing the function of acquiring video, such as a camera, a sensor and the like. The user may capture video using a video capture device on the terminal 101, 102, 103.

The server 105 may be a server that provides various services, such as a backend server that processes data displayed on the

terminal devices

101, 102, 103. The background server may perform processing such as analysis on the received data, and may feed back a processing result (e.g., an identification result) to the terminal device.

The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster composed of multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as multiple pieces of software or software modules (e.g., multiple pieces of software or software modules used to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for an implementation. In particular, in the case where the target data does not need to be acquired from a remote place, the above system architecture may not include a network but only a terminal device or a server.

Fig. 2 is a flowchart of a method for managing an aircraft maintenance tool according to an embodiment of the present application. As can be seen from fig. 2, the method for managing an aircraft maintenance tool of the embodiment includes the following steps:

s210, acquiring position data to be maintained of the airplane.

In this embodiment, an execution subject (for example, a server shown in fig. 1) of the management method for the aircraft maintenance tool may acquire the position data to be maintained of the aircraft in a wired manner or a wireless connection manner.

Further, the execution subject may acquire position data to be maintained of the aircraft, which is sent by an electronic device (for example, a terminal device shown in fig. 1) in communication connection with the execution subject, or may be position data to be maintained of the aircraft, which is stored locally in advance.

And S220, generating a scene graph characteristic corresponding to the position data to be maintained of the airplane based on the position data to be maintained of the airplane.

In some embodiments, the location data of the aircraft to be serviced is converted to corresponding textual description information based on aircraft service specifications and/or service manuals.

Further, converting the text description information into a scene graph;

each node in the scene graph represents an object, and edges connecting the objects represent the relationship.

In some embodiments, the scene graph can be represented by a multi-tuple including a set of objects X and a set of relationships Y corresponding to the objects, and the set and Z are used to represent a set of edges formed by different relationships between the objects, such as Z { (A) ₁ ,B ₁ ,A ₂ )……(A _Q ,B _W ,A _E )}。

Further, elements in the sets X, Y and Z in the scene graph can be converted into embedded vectors through a CBOW model, namely an object feature vector set X ' corresponding to X, a relation feature vector set Y ' corresponding to Y and an edge feature vector set Z ' corresponding to Z are obtained; wherein the characteristic dimensions of X 'and Y' are the same.

In some embodiments, feature vectors in the scene graph can be extracted through a GAT network, and attention coefficients between objects are calculated through the following formula:

H _ij ＝δ(f[X′ _i ,Y′ _k ,X′ _j ])

wherein Hij (Hij ∈ Y's × t) represents an arbitrary side (X ') of the scene graph ' _i ,Y′ _k ,X′ _j ) Middle object X' _j To object X' _i The contribution rate of (c);

the matrix f is used for converting all objects and the relation vector set in the scene graph into higher-level characteristic vectors, so that the higher-level characteristic vectors have stronger expression capability;

and S230, matching the scene graph characteristics with a maintenance database to obtain a maintenance tool set corresponding to the position data to be maintained of the airplane, and pushing the maintenance tool set to related maintenance personnel.

In some embodiments, the repair database is constructed by:

the existing aircraft maintenance scheme can be crawled from a relevant database (website and the like) in a mode of big data analysis and data mining.

Further, based on the existing fault data, an existing scene graph feature corresponding to the existing fault data is generated.

Referring to step S220, the description is omitted here.

Further, embedding the existing scene graph features through phrases, mapping the scene graph features to an N-dimensional space vector to generate maintenance data, and learning the maintenance data by using an antagonistic neural network to generate a new maintenance solution:

learning the repair solution data using a repair solution G and a discriminant repair solution model D, the objective function of which is as follows:

minmaxV(D,G)＝E _x～Pdata(x) [logD(x)]+E _z～Pz(z) [log(1-(D(z)))]

wherein G is a generative network, and G receives a random noise Z and inputs the characteristics of the repair solution, and generates a new repair solution based on Z:

the generator is set to be a recurrent neural network, and the objective function of the generator is as follows:

wherein the content of the first and second substances,

wherein, R is _T To, the total score of a complete repair solution;

said S ₀ Is, an initial state;

the theta is a parameter of the generator;

the above-mentioned

For, the desired value;

further, the summation process means that, when each maintenance solution is generated, the probability of generating the maintenance solution and the corresponding expected value are calculated, and the product of the two represents the expected value of generating the maintenance solution, and the sum is the expected value of the whole maintenance solution.

And D is a discrimination network for identifying the difference between the generated maintenance solution and the real maintenance solution. The newly generated maintenance solution is input into the discrimination network, the probability that the maintenance solution is the correct (real) maintenance solution is output, and the closer the output result is to 1, the closer the maintenance solution is to the correct maintenance solution is indicated.

Further, the new maintenance solutions are collected to obtain a maintenance solution database.

The solutions (maintenance solution templates) with the probability greater than the threshold value can be summarized by setting the threshold value, and a maintenance solution database is generated. The maintenance solution database generated by the method can enrich the maintenance solutions.

In some embodiments, the scene graph features are matched with a maintenance database to obtain a set of maintenance tools corresponding to the position data to be maintained of the aircraft, and the set of maintenance tools is pushed to relevant maintenance personnel to complete management of the aircraft maintenance tools.

Further, the method also comprises the following steps:

acquiring feedback opinions of a user;

and carrying out iterative processing on the maintenance database based on the feedback opinions, and perfecting an operation and maintenance decision suggestion template in the maintenance database.

According to the embodiment of the disclosure, the following technical effects are achieved:

the management efficiency of aircraft repair tools is greatly improved, and the labor cost is reduced.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.

The above is a description of embodiments of the method, and the embodiments of the apparatus are described further below.

Fig. 3 shows a block diagram of an aircraft service tool management apparatus 300 according to an embodiment of the application, as shown in fig. 3, the apparatus 300 comprising:

an obtaining module 310, configured to obtain position data of an aircraft to be repaired;

the generating module 320 is configured to generate a scene graph feature corresponding to the position data to be maintained of the aircraft;

and the selecting module 330 is configured to match the scene graph characteristics with a maintenance database to obtain a set of maintenance tools corresponding to the position data to be maintained of the aircraft.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described module may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.

As shown in fig. 4, the terminal device or the server includes a Central Processing Unit (CPU) 401 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the terminal device or the server are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including a display device such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. A driver 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 410 as needed, so that a computer program read out therefrom is mounted in the storage section 408 as needed.

In particular, the above method flow steps may be implemented as a computer software program according to embodiments of the present application. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a machine-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 409, and/or installed from the removable medium 411. The above-described functions defined in the system of the present application are executed when the computer program is executed by a Central Processing Unit (CPU) 401.

It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units or modules described in the embodiments of the present application may be implemented by software or hardware. The described units or modules may also be provided in a processor. Wherein the designation of such a unit or module does not in some way constitute a limitation on the unit or module itself.

As another aspect, the present application also provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiments; or may be separate and not incorporated into the electronic device. The computer readable storage medium stores one or more programs that when executed by one or more processors perform the methods described herein.

The foregoing description is only exemplary of the preferred embodiments of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the application referred to in the present application is not limited to the embodiments with a particular combination of the above-mentioned features, but also encompasses other embodiments with any combination of the above-mentioned features or their equivalents without departing from the spirit of the application. For example, the above features may be replaced with (but not limited to) features having similar functions as those described in this application.

Claims

1. A method of managing aircraft maintenance tools, comprising:

acquiring position data to be maintained of an airplane;

generating a scene graph characteristic corresponding to the position data to be maintained of the airplane based on the position data to be maintained of the airplane;

2. The method of claim 1, wherein generating the scenegraph feature corresponding to the location data of the aircraft to be serviced comprises:

3. The method of claim 2, further comprising:

H _ij ＝δ(f[X′ _i ,Y′ _k ,X′ _j ])

the delta Y′ ^3Q →Y′，[X′ _i ,Y′ _k ,X′ _j ]Is to X' _i ,Y′ _k ,X′ _j Performing a stitching process, the output of each object node being described in the form of a weighted sum thereof with other objects:

4. the method of claim 3, wherein the service database is constructed by:

crawling existing aircraft maintenance schemes of relevant databases through data mining;

and summarizing the new maintenance solutions to obtain a maintenance database.

5. The method of claim 4, wherein after obtaining the set of service tools corresponding to the location data for which the aircraft is to be serviced, further comprising:

acquiring feedback opinions of a user;

6. An aircraft service tool selection device, comprising:

7. The apparatus of claim 6, wherein generating the scenegraph feature corresponding thereto based on the location data of the aircraft to be serviced comprises:

8. The apparatus of claim 7, further comprising:

H _ij ＝δ(f[X′ _i ,Y′ _k ,X′ _j ])

delta to Y' ^3Q →Y′，[X′ _i ,Y′ _k ,X′ _j ]Is to X' _i ,Y′ _k ,X′ _j Performing a stitching process, the output of each object node being described in the form of a weighted sum thereof with other objects:

9. an electronic device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the computer program, implements the method of any one of claims 1-5.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1 to 5.