Airbus type EPR fluctuation monitoring method and device and storage medium

Abstract

The invention relates to an airbus model EPR fluctuation monitoring method and device and a storage medium, and the method comprises the steps: firstly collecting EPR related parameters of an aircraft engine, and carrying out the mapping of the QAR parameter configuration information of each aircraft; establishing a predictive maintenance model around the EPR fluctuation problem aiming at the fault phenomenon that the EPR fluctuation occurs in the operation history of an aircraft engine and a fleet; and monitoring the EPR fluctuation in the airplane operation process based on the predictive maintenance model. Through the customized EPR fluctuation parameter monitoring indexes, faults can be found in real time, the premonition of abnormal work of components can be found in advance, technical intervention is adopted according to the performance development trend, the air material and labor cost is saved, troubleshooting can be intervened in advance, and preventive maintenance can be carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of aircraft component monitoring, and particularly to a monitoring method, device and storage medium for EPR fluctuation of Airbus models. Background Art

[0002] Using either the EPR mode or the N1 mode as the main thrust parameter is the thrust control mode of mainstream civil aviation aircraft. For aircraft models using EPR to represent thrust, mainly the A330 model equipped with TRENT700 engines and the A320 model equipped with IAE engines. The engine thrust setting is completed by controlling the Engine Pressure Ratio (EPR). The EEC calculates the ratio of P4.9 (the pressure at the outlet of the low-pressure turbine, transmitted to the EEC through a pipeline) to P2 (the pressure at the inlet of the fan, transmitted by the P2 / T2 probe) to obtain the EPR (Engine Pressure Ratio). EPR is a parameter representing the engine thrust. The larger the ratio, the greater the thrust generated by the engine. The EPR mode is the basic control method for V2500 and TRENT700 engines. When the engine is operating normally, the EPR mode is the main mode and the N1 mode is the backup mode. When there is a fault in the available EPR mode, the affected engine electronic control system will automatically switch back to the N1 mode. In the existing warning logic, the fault phenomenon of EPR fluctuation can only be noticed by the crew during flight and then they notify the maintenance personnel to carry out maintenance work.

[0003] Since the existing fault phenomenon of EPR fluctuation can only be reflected by the crew when the EPR deteriorates to a certain extent, in most cases, abnormal events such as flight returns, alternate landings, and flight delays will occur. After such event reports, generally, inspection and troubleshooting work needs to be carried out immediately, resulting in unexpected long-term groundings and passive operation. Currently, neither aircraft manufacturers nor engine manufacturers have been able to detect such potential fault hazards from the perspective of data monitoring. Summary of the Invention

[0004] The purpose of the present invention is to overcome the problem in the above-mentioned existing technology that the fault phenomenon of EPR fluctuation can only be reflected by the crew when the EPR deteriorates to a certain extent, and to provide a monitoring method, device and storage medium for EPR fluctuation of Airbus models.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] As the first aspect of the present invention, a monitoring method for EPR fluctuation of Airbus models is provided. The method steps include:

[0007] Collect relevant parameters of the aircraft engine EPR and map the QAR parameter configuration information of each aircraft;

[0008] For the fault phenomenon of EPR fluctuation in the operation history of aircraft engines and fleets, a predictive maintenance model is established around the EPR fluctuation problem;

[0009] Based on the predictive maintenance model, monitor the EPR fluctuation during the operation of the aircraft.

[0010] As a preferred technical solution, for the collected relevant parameter data, the engine-related parameters are cleaned through a flight data decoding platform, and effective data features are extracted and constructed.

[0011] As a preferred technical solution, the monitoring method uses the cruise stable stage as the monitoring interval for the fault phenomenon of EPR fluctuation.

[0012] As a preferred technical solution, the predictive maintenance model defines the volatility through the difference in the engine thrust characterization quantity EPR between the previous and current moments of the engine, defines the fluctuation by comparing the absolute value of the EPR difference in the previous and next second, and performs cumulative counting based on the difference threshold in the previous and next second. The magnitude of the counting value reflects the fluctuation amplitude of the EPR.

[0013] As a preferred technical solution, the difference threshold is set to 0.2.

[0014] As a preferred technical solution, the monitoring method issues an alarm when the EPR fluctuation amplitude exceeds the custom threshold value, and records the change trend of the EPR volatility in different flights.

[0015] As a preferred technical solution, the monitoring method automatically alarms when the EPR volatility exceeds the custom threshold value, and notifies the maintenance personnel to perform troubleshooting inspections.

[0016] As a preferred technical solution, after the troubleshooting inspection, the method continuously monitors in subsequent flights to observe whether the volatility recovers and performs closed-loop feedback.

[0017] As the second aspect of the present invention, there is provided a monitoring device for EPR fluctuation of an Airbus aircraft type, including a memory, a processor, and a program stored in the memory. When the processor executes the program, the monitoring method for EPR fluctuation of the Airbus aircraft type as described above is implemented.

[0018] As the third aspect of the present invention, there is provided a storage medium with a program stored thereon. When the program is executed, the monitoring method for EPR fluctuation of the Airbus aircraft type as described above is implemented.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1) The present invention defines the EPR volatility and uses the volatility to monitor the abnormal EPR of the engine thrust, making up for the data monitoring gap of such EPR fluctuation events. By predicting faults in advance and making deployments, it can avoid flight returns for landing or unexpected long-term groundings, and reduce and avoid flight delays or flight returns for landing caused by EPR fluctuations.

[0021] 2) The present invention uses QAR data to regularly monitor the performance of related components involved in the fault phenomenon of the engine EPR, which can immediately detect faults and can also detect precursors of abnormal component operation in advance. Through the performance development trend, technical interventions can be taken as needed, greatly saving the costs of aircraft materials and manpower.

[0022] 3) Through the regular monitoring of related components, the present invention can more accurately observe the actual working conditions of the components, avoid misjudgment of faults caused by component incapability under certain extreme working conditions, avoid a large number of incorrect disassembly and replacement, greatly reduce the NFF rate of aircraft materials sent for repair, save the repair cost of faulty components, reduce the NFF rate of components returned to the factory, and improve economic efficiency and the availability of aircraft materials.

[0023] 4) By feeding back the monitoring data after maintenance, the algorithm model has the ability to update and iterate. Compared with the current aircraft fault trigger logic, it has stronger flexibility and the ability to automatically adjust the alarm logic according to the operation of the fleet, which is not available in the alarm settings of aircraft manufacturers. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flowchart of the monitoring method for EPR fluctuations of Airbus models of the present invention;

[0025] Figure 2 It is a comparison chart of flight EPR fluctuations obtained in one of the preferred embodiments of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0026] The present invention will be described in detail below with reference to the drawings and specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention, and gives the detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0027] Embodiment 1

[0028] The present invention provides an EPR fluctuation fault monitoring model based on QAR data analysis. This model can identify the abnormality of the key technical index EPR of the engine in daily operation, and according to the severity of the abnormal trend, take corresponding alarm levels to automatically alarm, so as to prompt the engineer to take relevant measures to perform technical intervention on the abnormal components. This model is superior to the existing fault alarm modes. For example Figure 1As shown in the figure, the flowchart of fluctuating data monitoring, and its model establishment and operation mechanism include the following steps:

[0029] a. Collect relevant parameters of the aircraft engine EPR (EPR), map and view the QAR parameter configuration information of each aircraft, and count the number of available flights in the historical flight database. Based on the mechanical principles and data relationships of the engine-related systems, merge the maintenance records and conduct analysis.

[0030] b. Combine the flight data decoding platform to clean the data of the engine bleed air-related parameters, extract and construct effective data features. Based on the big data analysis method, deeply understand the actual working state of the EPR system under specific flight conditions, analyze the change trend of abnormal data, and reflect the in-wing working conditions of relevant components from the perspective of data analysis.

[0031] c. Focus on analyzing the fault phenomena of EPR fluctuations that have occurred many times in the operation history of the Airbus A330 TRENT engine and the A320 IAE fleet, as well as the faults that have caused unsafe events, and establish a predictive maintenance model around the EPR fluctuation problem.

[0032] d. For the fault phenomenon of EPR fluctuations, determine the monitoring interval as the cruise stable stage.

[0033] e. The model defines the volatility through the difference in the engine thrust characterization quantity EPR between the previous and current moments of the engine, and defines the fluctuation by comparing the absolute value of the EPR difference in the previous and next second.

[0034] f. When the difference in the previous and next second is 0.2, perform cumulative counting, and the magnitude of the counting value reflects the fluctuation amplitude of EPR.

[0035] g. When the EPR fluctuation amplitude exceeds the custom threshold, send an alarm and observe the change trend of the EPR volatility in different flights.

[0036] h. Automatically send an alarm when the EPR volatility exceeds the custom threshold, and notify the maintenance personnel to perform troubleshooting inspections

[0037] i. Continuously monitor in subsequent flights, observe whether the volatility recovers, and achieve closed-loop feedback.

[0038] (2) The above model consists of a closed-loop full-process control system composed of a data acquisition end, data analysis, model algorithm, alarm push, solution implementation, and result feedback modules.

[0039] Such as Figure 2The figure shows the results of detecting the EPR fluctuations during the flight of the EPR fluctuating flight by the method proposed in the present invention. By comparing EPR1 and EPR2, it can be clearly found that the fluctuations of EPR2 are obvious. Through the self-defined monitoring index of the EPR fluctuation parameter, after setting the monitoring landing sending reminder through the decoding software, it is decoded that during the whole flight process, the EPR fluctuates slightly but the crew does not report. After the maintenance control center engineer notifies the maintenance personnel to perform inspection and troubleshooting, the fault is eliminated after replacing components such as the engine control component EEC. During the subsequent monitoring process, the EPR parameter is normal and there is no sign of recurrence of fluctuations, achieving the purpose of preventive maintenance by intervening in troubleshooting in advance.

[0040] Embodiment 2

[0041] As a second aspect of the present invention, the present application also provides an electronic device, including: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the monitoring method for EPR fluctuations of the Airbus model as described above. In addition to the processors, the memory, and the interfaces, any device with data processing capabilities where the device in the embodiment is located usually includes other hardware according to the actual functions of the device with data processing capabilities, which will not be elaborated here.

[0042] Embodiment 3

[0043] As a third aspect of the present invention, the present application also provides a computer-readable storage medium, on which computer instructions are stored, and when the instructions are executed by a processor, the monitoring method for EPR fluctuations of the Airbus model as described above is implemented. The computer-readable storage medium may be an internal storage unit of any device with data processing capabilities described in any of the foregoing embodiments, such as a hard disk or a memory. The computer-readable storage medium may also be an external storage device, such as a plug-in hard disk, a Smart Media Card (SMC), an SD card, a Flash Card, etc. equipped on the device. Further, the computer-readable storage medium may also include both an internal storage unit of any device with data processing capabilities and an external storage device. The computer-readable storage medium is used to store the computer program and other programs and data required by any device with data processing capabilities, and may also be used to temporarily store data that has been output or will be output.

[0044] The preferred specific embodiments of the present invention have been described in detail above. It should be understood that those of ordinary skill in the art can make many modifications and variations based on the concept of the present invention without creative work. Therefore, all technical solutions that can be obtained by those skilled in the art in this technical field based on the concept of the present invention through logical analysis, reasoning, or limited experiments on the basis of the prior art shall fall within the protection scope determined by the claims.

Claims

1. A monitoring method for the EPR fluctuation of an Airbus model, characterized in that, The method steps include: Collect relevant parameters related to the EPR of aircraft engines and map the QAR parameter configuration information of each aircraft; For the fault phenomenon of EPR fluctuations that occurred in the operation history of aircraft engines and the fleet, establish a predictive maintenance model around the EPR fluctuation problem; Based on the predictive maintenance model, monitor the EPR fluctuations during the operation of the aircraft.

2. The monitoring method for the EPR fluctuation of an Airbus model according to claim 1, characterized in that, For the collected relevant parameter data, the method cleans the data of the engine-related parameters through a flight data decoding platform and extracts and constructs effective data features.

3. The monitoring method for EPR fluctuation of an Airbus model according to claim 1, characterized in that, The monitoring method uses the cruise stable stage as the monitoring interval for the fault phenomenon of EPR fluctuations.

4. A monitoring method for EPR fluctuations of an Airbus model, according to claim 1, characterized in that, The predictive maintenance model defines the volatility through the difference in the EPR, which is a characterization quantity of the engine thrust, between the previous and current moments of the engine. It defines the fluctuation by comparing the absolute value of the EPR difference in the previous second and performs cumulative counting based on the difference threshold in the previous second. The magnitude of the counted value reflects the fluctuation amplitude of the EPR.

5. The monitoring method for EPR fluctuation of an Airbus model according to claim 4, characterized in that, The set difference threshold is 0.

2.

6. The monitoring method for EPR fluctuation of an Airbus model according to claim 4, characterized in that, The monitoring method issues an alarm when the EPR fluctuation amplitude exceeds the custom threshold value and records the change trend of the EPR volatility in different flights.

7. A monitoring method for EPR fluctuations of an Airbus model, as claimed in claim 4, wherein The monitoring method automatically alarms when the EPR volatility exceeds the custom threshold value and notifies the maintenance personnel to perform troubleshooting inspections.

8. A method for monitoring the EPR fluctuation of an Airbus model, according to claim 7, characterized in that, After the troubleshooting inspection, the method continuously monitors in subsequent flights to observe whether the volatility recovers and performs closed-loop feedback.

9. A monitoring device for EPR fluctuations of an Airbus model, comprising a memory, a processor, and a program stored in the memory, characterized in that When the processor executes the program, it implements the monitoring method for EPR fluctuations of Airbus models as described in any one of claims 1-8.

10. A storage medium, on which a program is stored, characterized in that, When the program is executed, it implements the monitoring method for EPR fluctuations of Airbus models as described in any one of claims 1-8.

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