An aircraft health determination method, apparatus, device, medium, and product

Abstract

The application discloses an aircraft health degree determination method, device, equipment, medium and product, and relates to the technical field of aircraft health management. The method comprises the following steps: acquiring service data related to aircraft failure from a plurality of service systems corresponding to the aircraft; dividing the service data into first data and second data; determining the first service system in which the first data is located, and determining the first failure score of the first data based on the first score corresponding to each first service system; determining the second service system in which the second data is located, and determining the second failure score of the second data based on the second score corresponding to the second service system; and determining the health quantitative value of the aircraft based on the first failure score and the second failure score. The method solves the problem that the aircraft health evaluation in the prior art relies on artificial qualitative judgment and lacks unified quantitative standards, and provides a standardized and quantifiable aircraft health evaluation scheme.

Description

Technical Field

[0001] This invention relates to the field of aircraft health management technology, and in particular to a method, apparatus, equipment, medium and product for determining aircraft health status. Background Technology

[0002] With the rapid development of the air transport industry, there is an urgent need for standardized and quantifiable whole-aircraft health assessment solutions to ensure flight safety and optimize fleet operations.

[0003] Currently, traditional methods for assessing aircraft health status rely heavily on manual labor. When an aircraft needs to be assessed, each systems engineer independently checks the airborne systems they are responsible for and qualitatively judges whether the system has any faults or defects based on their personal experience.

[0004] However, relying solely on manual qualitative judgment based on the presence or absence of faults, and with assessment results limited to a binary qualitative level of "whether there is a fault or not," lacks unified quantitative standards, cannot accurately depict the technical defects of the aircraft's overall technical level, and lacks standardized and quantifiable aircraft health assessment schemes. Summary of the Invention

[0005] This invention provides a method, apparatus, equipment, medium, and product for determining aircraft health, which solves the problems of existing technologies where aircraft health assessment relies on manual qualitative judgment and lacks unified quantitative standards, and provides a standardized and quantifiable aircraft health assessment solution.

[0006] According to one aspect of the present invention, a method for determining aircraft health is provided, comprising: Obtain business data related to the aircraft malfunction from multiple business systems corresponding to the aircraft; The business data is divided into first data and second data, wherein the first data includes the business data located in different business systems; For the first data, determine the first business system in which the first data is located, and determine the first fault score of the first data based on the first score corresponding to each first business system. For the second data, determine the second business system in which the second data is located, and based on the second score corresponding to the second business system, determine the second fault score of the second data; Based on the first fault score and the second fault score, a health metric value for the aircraft is determined, which is used to indicate the health status of the aircraft.

[0007] According to another aspect of the present invention, an aircraft health determination device is provided, comprising: The acquisition module is used to acquire business data related to the aircraft malfunction from multiple business systems corresponding to the aircraft. A partitioning module is used to partition each of the business data into first data and second data, wherein the first data includes business data located in different business systems; The first determining module is used to determine the first business system in which the first data is located for the first data, and to determine the first fault score of the first data based on the first score corresponding to each of the first business systems. The second determining module is used to determine the second business system in which the second data is located, and to determine the second fault score of the second data based on the second score corresponding to the second business system. The third determining module is used to determine the health quantification value of the aircraft based on the first fault score and the second fault score, the health quantification value being used to indicate the health status of the aircraft.

[0008] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method described in any embodiment of the present invention.

[0009] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method described in any embodiment of the present invention.

[0010] According to another aspect of the present invention, a computer program product is provided, the computer program product comprising a computer program that, when executed by a processor, implements the method described in any embodiment of the present invention.

[0011] The technical solution provided by this invention improves the accuracy of health assessment by acquiring business data related to aircraft malfunctions from multiple business systems corresponding to the aircraft and dividing the business data into first data and second data for separate processing. For the first data, a first fault score is determined based on the first score corresponding to its respective first business system; for the second data, a second fault score is determined based on the second score corresponding to its respective second business system. Finally, a quantifiable value for aircraft health is determined based on the first and second fault scores, establishing a unified and quantifiable aircraft health assessment standard. This solves the problem of existing technologies relying on manual qualitative judgment and lacking unified quantitative standards in aircraft health assessment, providing a standardized and quantifiable aircraft health assessment scheme.

[0012] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a flowchart of a method for determining aircraft health according to an embodiment of the present invention; Figure 2 This is a flowchart of another method for determining aircraft health provided in an embodiment of the present invention; Figure 3 This is a flowchart of aircraft health quantification provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an aircraft health determination device provided in an embodiment of the present invention; Figure 5 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0015] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0016] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0017] In one embodiment, Figure 1 This is a flowchart of an aircraft health determination method provided by an embodiment of the present invention. This embodiment is applicable to aircraft health assessment scenarios. The method can be executed by an aircraft health determination device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes: S110. Obtain business data related to the aircraft malfunction from multiple business systems corresponding to the aircraft.

[0018] Business systems can refer to various data recording and management systems used in aircraft operation and maintenance management, including fault tracking systems, recurring fault control systems, Minimum Equipment List (MEL) retention systems, engineering control fault systems, non-card retention systems, oil leakage systems, and cabin health monitoring systems. Fault tracking systems record currently existing faults in the aircraft. Recurring fault control systems record recurring faults. MEL retention systems record retained items that allow the aircraft to continue operating under specified limitations and repair periods even when specific equipment is inoperable or malfunctioning. Engineering control fault systems record faults that require continuous monitoring and control by the engineering management department. Non-card retention systems record non-card retention items. Oil leakage systems record oil leakage in various aircraft systems. Cabin health monitoring systems record health defects in aircraft cabin facilities.

[0019] Business data can refer to various operation and maintenance records related to aircraft malfunctions obtained from business systems. The same business data can be recorded simultaneously by different business systems. For example, the same malfunction item can be recorded by both the malfunction tracking system and the engineering control malfunction system.

[0020] Business data related to aircraft malfunctions are collected from various business systems through data interfaces, data import, or data query methods.

[0021] S120. Divide each of the aforementioned business data into first data and second data.

[0022] The first data includes the business data located in different business systems.

[0023] The first data can refer to the business data formed when the same faulty item is recorded simultaneously by multiple different business systems.

[0024] The second type of data can refer to business data formed by fault items that are recorded separately by only one business system.

[0025] Based on the number of business systems affected by the same faulty project, the business data is divided into first data and second data.

[0026] S130. For the first data, determine the first business system in which the first data is located, and determine the first fault score of the first data based on the first score corresponding to each first business system.

[0027] The first business system can be multiple business systems that record the first data, that is, the various business systems where the first data is located.

[0028] The first score can refer to the pre-set deduction score for each first business system for the fault items it records.

[0029] The first fault score can refer to the score deducted for the fault item corresponding to the first data, which is determined by the first score corresponding to each first business system where the fault item is located.

[0030] The first fault score of the first data is calculated based on the first score corresponding to each first business system. Specifically, the first scores corresponding to each first business system can be compared, and the maximum, minimum, median, second largest or average value can be selected as the first fault score of the first data.

[0031] In one embodiment, determining the first fault score of the first data based on the first score corresponding to each of the first business systems includes: Determine the maximum value among the first scores corresponding to each of the first business systems; The maximum value is determined as the first fault score of the first data.

[0032] The maximum value can refer to the highest value among the first scores corresponding to each first business system.

[0033] The first scores corresponding to each first business system are compared with each other, and the one with the highest value is selected. The maximum value is taken as the first fault score of the first data.

[0034] When the same fault item is recorded by multiple business systems at the same time, the scores of each business system are compared and the maximum value is taken as the final deduction, so that the same fault is deducted only once, avoiding duplicate deduction of points for the same fault item.

[0035] S140. For the second data, determine the second business system in which the second data is located, and determine the second fault score of the second data based on the second score corresponding to the second business system.

[0036] The second business system can refer to the business system that records the second data. That is, the business system where the second data is recorded separately.

[0037] The second score can refer to the pre-set deduction score for the fault items recorded by the second business system.

[0038] The second fault score can be the score deducted from the fault item corresponding to the second data, and is determined by the second score corresponding to the second business system where the fault item is located.

[0039] After identifying and locating the various business systems that record the second data, the second fault score of the second data is calculated based on the second score corresponding to each business system. Specifically, the second score corresponding to the second business system can be directly used as the second fault score of the second data, or the second fault score can be obtained by multiplying the second score corresponding to the second business system by the number of times the fault occurs.

[0040] S150. Based on the first fault score and the second fault score, determine the quantitative value of the aircraft's health.

[0041] The health metric is used to indicate the health status of the aircraft.

[0042] Health metrics can be numerical indicators used to indicate the overall health status of an aircraft. They can be the total score of 100 points minus the first and second fault scores, used to indicate the overall health status of the aircraft.

[0043] The technical solution provided by this invention improves the accuracy of health assessment by acquiring business data related to aircraft malfunctions from multiple business systems corresponding to the aircraft and dividing the business data into first data and second data for separate processing. For the first data, a first fault score is determined based on the first score corresponding to its respective first business system; for the second data, a second fault score is determined based on the second score corresponding to its respective second business system. Finally, a quantifiable value for aircraft health is determined based on the first and second fault scores, establishing a unified and quantifiable aircraft health assessment standard. This solves the problem of existing technologies relying on manual qualitative judgment and lacking unified quantitative standards in aircraft health assessment, providing a standardized and quantifiable aircraft health assessment solution.

[0044] Based on the above embodiments, modified embodiments of the above embodiments are proposed. It should be noted that, in order to keep the description brief, only the differences from the above embodiments are described in the modified embodiments.

[0045] In one embodiment, the method further includes: The health measurement values ​​are visualized, and the visualization methods include: displaying the health measurement values ​​or displaying the health measurement values ​​with corresponding colors.

[0046] Displaying health metrics can refer to directly showing numerical scores; displaying health metrics with corresponding colors can refer to visually displaying the health metrics according to a preset score range. In this embodiment, health metrics below 70 points correspond to red, 70 to 80 points to yellow, 80 to 90 points to blue, and above 90 points to green.

[0047] By using color differences to visually display the aircraft's health metrics, managers can quickly identify the aircraft's current technical status without having to sift through complex fault logs, providing intuitive data support for engineering decisions such as flight selection and maintenance scheduling.

[0048] In one embodiment, the method further includes: Output an assessment report for the aircraft, which includes the basis for deriving the health quantification values ​​and the data sources.

[0049] An assessment report can be a document that records the basis for deriving quantitative values ​​of aircraft health and the data sources. The basis for deriving values ​​includes the deduction details for each fault item, and the data sources include the business systems corresponding to each fault item. In this embodiment, the assessment report may also include one or more of the following: basic aircraft information, a detailed description of each fault item, the deduction score corresponding to each fault item, the division between the first and second data, the total deduction details, and the assessment report generation time.

[0050] By outputting an assessment report that includes the basis for the calculation of health metrics and the source of the data, the assessment process becomes traceable and verifiable, solving the problems of manual assessment having no retained calculation basis and being unable to be verified and traced later.

[0051] In one embodiment, Figure 2 This is a flowchart of another method for determining aircraft health provided by an embodiment of the present invention. This embodiment is a further refinement of the above embodiments. It should be noted that technical details not described in detail in this embodiment can be found in any of the above scenarios. Figure 2 As shown, the method includes: S210. Obtain business data related to the aircraft malfunction from multiple business systems corresponding to the aircraft.

[0052] S220. Divide each of the aforementioned business data into first data and second data.

[0053] The first data includes the business data located in different business systems.

[0054] S230. For the first data, determine the first business system in which the first data is located, and determine the first fault score of the first data based on the first score corresponding to each first business system.

[0055] S240. For the second data, determine the second business system in which the second data is located.

[0056] S250. Determine the fault priority of the second data in the second business system.

[0057] Fault priority can be a pre-set deduction level for different fault items in the second business system.

[0058] In this embodiment, faults in the fault tracking system are classified into five priority levels: high risk, relatively high risk, medium risk, general risk, and low risk, corresponding to a deduction of 5 points, 4 points, 3 points, 2 points, and 1 point, respectively; MEL retention items are classified into A, B, and C levels, corresponding to a deduction of 15 points, 10 points, and 5 points, respectively; engineering control faults are classified into A, B, C, and D levels, corresponding to a deduction of 12 points, 9 points, 6 points, and 3 points, respectively; each non-card retention item is deducted a fixed 1 point; oil leakage is dynamically assessed and deducted based on the leakage level; cabin health defects are dynamically assessed and deducted based on the number of defects.

[0059] In one embodiment, the business system includes a business system for recording recurring faults, and before determining the fault priority of the second data in the second business system, the method further includes: If the second business system is a business system that records repeated faults, then the second fault score of the second data is determined based on the number of times the second data is repeated and the benchmark score corresponding to the business system that records repeated faults; otherwise, the fault priority of the second data in the second business system is determined.

[0060] The baseline score can refer to the basic deduction score set in advance for the fault item in the business system that records repeated faults.

[0061] Multiply the baseline score by the number of repetitions to obtain the second fault score for the second data.

[0062] In this embodiment, the recurring fault control system records a recurring fault control list, which includes recurring faults and fault warnings. A recurring fault can refer to the same fault occurring 3 times within a certain statistical period, and a fault warning can refer to the same fault occurring 2 times within a certain statistical period. If the fault is a recurring fault, the baseline score is multiplied by 3 to obtain the second fault score; if the fault is a fault warning, the baseline score is multiplied by 2 to obtain the second fault score.

[0063] For the same fault item that occurs repeatedly within a preset time, a weighted deduction is made by multiplying the baseline score by the number of recurrences. This highlights the impact of recurring faults on the aircraft's health status, making the assessment results more accurately reflect the actual technical condition of the aircraft, while also enabling effective tracking and control of recurring faults.

[0064] S260. The second score corresponding to the fault priority is determined as the second fault score of the second data.

[0065] Based on the fault priority of the second data in the second business system, the deduction value corresponding to the priority is used as the second fault score of the second data.

[0066] S270. Based on the first fault score and the second fault score, determine the health metric of the aircraft, which is used to indicate the health of the aircraft.

[0067] In this embodiment, the specific classification of fault items and corresponding deduction scores for each business system are specified, and the deduction rules for different business systems are clarified. At the same time, the processing logic of the second data is distinguished. When the second business system is a business system that records repeated faults, the second fault score is determined by multiplying the base score by the number of repetitions. Otherwise, the second fault score is determined according to the fault priority, making the evaluation rules more specific and executable.

[0068] In one embodiment, Figure 3 This is a flowchart of aircraft health quantification provided in an embodiment of the present invention, such as... Figure 3 As shown: (1) Extract data from each business system (2) Extract data from each business operation system by aircraft number, and perform deduplication processing on the data according to aircraft number and time (i.e., determine the maximum value of the first score corresponding to each first business system; determine the maximum value as the first fault score of the first data); deduct points for repeated faults and fault warnings in the list according to the repeated fault control list obtained from the repeated fault control system (i.e., if the second business system is the business system that records repeated faults, determine the second fault score of the second data based on the number of times the second data is repeated and the benchmark score corresponding to the business system that records repeated faults).

[0069] (3) According to the fault classification and deduction mechanism, deduct points for each fault item in each business system after deduplication (i.e., determine the fault priority of the second data in the second business system; determine the second score corresponding to the fault priority as the second fault score of the second data). Among them, MEL retained items are deducted 15 points, 10 points and 5 points respectively according to A, B and C levels; engineering control faults are deducted 12 points, 9 points, 6 points and 3 points respectively according to A, B, C and D levels; existing faults in the fault tracking system are deducted 5 points, 4 points, 3 points, 2 points and 1 point respectively according to high risk, relatively high risk, medium risk, general risk and low risk; 1 point is deducted for each non-card retained item; oil leakage is dynamically assessed and deducted according to the leakage level; cabin health defects are dynamically assessed and deducted according to the number of defects.

[0070] (4) Using 100 points as the initial full health benchmark for the aircraft, calculate the comprehensive health score of a single aircraft based on the above-mentioned fault classification and deduction mechanism and deduction priority. (That is, based on the first fault score and the second fault score, determine the quantified health value of the aircraft, which is used to indicate the health status of the aircraft.) (5) Visually display the aircraft's current technical status through images and color differences to provide data support for engineering decisions. Less than 70 points: red light; 70-80: yellow; 80-90: blue; above 90: green (i.e., visualize the health measurement values, where visualization methods include: displaying the health measurement values ​​or displaying the health measurement values ​​with corresponding colors). In one embodiment, Figure 4 This is a schematic diagram of the structure of an aircraft health determination device provided in an embodiment of the present invention. Figure 4 As shown, the device includes: The acquisition module 410 is used to acquire business data related to the aircraft malfunction from multiple business systems corresponding to the aircraft. The partitioning module 420 is used to partition each of the business data into first data and second data, wherein the first data includes the business data located in different business systems; The first determining module 430 is used to determine the first business system in which the first data is located for the first data, and to determine the first fault score of the first data based on the first score corresponding to each of the first business systems. The second determining module 440 is used to determine the second business system in which the second data is located for the second data, and to determine the second fault score of the second data based on the second score corresponding to the second business system. The third determining module 450 is used to determine a health metric value of the aircraft based on the first fault score and the second fault score, the health metric value being used to indicate the health status of the aircraft.

[0071] In one embodiment, the first determining module 430 is specifically used for: Determine the maximum value among the first scores corresponding to each of the first business systems; The maximum value is determined as the first fault score of the first data.

[0072] In one embodiment, the second determining module 440 is specifically used for: Determine the fault priority of the second data in the second business system; The second score corresponding to the fault priority is determined as the second fault score of the second data.

[0073] In one embodiment, the second determining module 440 is specifically used for: If the second business system is a business system that records repeated faults, then the second fault score of the second data is determined based on the number of times the second data is repeated and the benchmark score corresponding to the business system that records repeated faults; otherwise, the fault priority of the second data in the second business system is determined.

[0074] In one embodiment, the method further includes: The health measurement values ​​are visualized, and the visualization methods include: displaying the health measurement values ​​or displaying the health measurement values ​​with corresponding colors.

[0075] In one embodiment, the method further includes: Output an assessment report for the aircraft, which includes the basis for deriving the health quantification values ​​and the data sources.

[0076] The apparatus provided in the embodiments of the present invention can execute the methods provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the methods.

[0077] In one embodiment, Figure 5 This is a structural block diagram of an electronic device provided in an embodiment of the present invention, such as... Figure 5 The diagram illustrates a schematic representation of an electronic device 10 that can be used to implement embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0078] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., which is communicatively connected to the at least one processor 11. The memory stores a computer program that can be executed by the at least one processor 11, and the computer program is executed by the at least one processor 11 to enable the at least one processor 11 to perform the method provided by the present invention.

[0079] The processor 11 can perform various appropriate actions and processes based on a computer program stored in the read-only memory (ROM) 12 or a computer program loaded from the storage unit 18 into the random access memory (RAM) 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0080] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0081] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the methods provided in this invention.

[0082] In some embodiments, the method provided by the present invention can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to execute the method by any other suitable means (e.g., by means of firmware).

[0083] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard parts (ASSPs), systems-on-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0084] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0085] In the context of this invention, a computer-readable storage medium stores computer instructions that are used to cause a processor to execute and implement the method provided by this invention.

[0086] The present invention also provides a computer program product comprising a computer program that, when executed by a processor, implements the method provided according to embodiments of the present invention. A computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. The computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0087] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0088] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0089] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0090] This invention also provides a computer program product, including a computer program that, when executed by a processor, can implement the methods provided in any embodiment of this invention.

[0091] In implementing the computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0092] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0093] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining aircraft health, characterized in that, include: Obtain business data related to the aircraft malfunction from multiple business systems corresponding to the aircraft; The business data is divided into first data and second data, wherein the first data includes the business data located in different business systems; For the first data, determine the first business system in which the first data is located, and determine the first fault score of the first data based on the first score corresponding to each first business system. For the second data, determine the second business system in which the second data is located, and based on the second score corresponding to the second business system, determine the second fault score of the second data; Based on the first fault score and the second fault score, a health metric value for the aircraft is determined, which is used to indicate the health status of the aircraft.

2. The method according to claim 1, characterized in that, The step of determining the first fault score of the first data based on the first score corresponding to each of the first business systems includes: Determine the maximum value among the first scores corresponding to each of the first business systems; The maximum value is determined as the first fault score of the first data.

3. The method according to claim 1, characterized in that, The step of determining the second fault score of the second data based on the second score corresponding to the second business system includes: Determine the fault priority of the second data in the second business system; The second score corresponding to the fault priority is determined as the second fault score of the second data.

4. The method according to claim 3, characterized in that, The business system includes a business system for recording recurring faults. Before determining the fault priority of the second data in the second business system, the method further includes: If the second business system is a business system that records repeated faults, then the second fault score of the second data is determined based on the number of times the second data is repeated and the benchmark score corresponding to the business system that records repeated faults; otherwise, the fault priority of the second data in the second business system is determined.

5. The method according to claim 1, characterized in that, The method further includes: The health measurement values ​​are visualized, and the visualization methods include: displaying the health measurement values ​​or displaying the health measurement values ​​with corresponding colors.

6. The method according to claim 1, characterized in that, The method further includes: Output an assessment report for the aircraft, which includes the basis for deriving the health quantification values ​​and the data sources.

7. An aircraft health determination device, characterized in that, include: The acquisition module is used to acquire business data related to the aircraft malfunction from multiple business systems corresponding to the aircraft. A partitioning module is used to partition each of the business data into first data and second data, wherein the first data includes business data located in different business systems; The first determining module is used to determine the first business system in which the first data is located for the first data, and to determine the first fault score of the first data based on the first score corresponding to each of the first business systems. The second determining module is used to determine the second business system in which the second data is located, and to determine the second fault score of the second data based on the second score corresponding to the second business system. The third determining module is used to determine the health quantification value of the aircraft based on the first fault score and the second fault score, the health quantification value being used to indicate the health status of the aircraft.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the method of any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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