Flight simulator health management method and device

Abstract

The invention belongs to the technical field of flight simulator health management, and particularly relates to a flight simulator health management method and device. The method comprises the following steps: S1, collecting the working state and performance data of the flight simulator; s2, comparing the collected data with a preset parameter index threshold value; s3, evaluating the current health state of the flight simulator according to the comparison result; s4, evaluating the health state of the flight simulator in a future period of time according to a comparison result; and S5, giving a corresponding management or maintenance decision according to the health state. Potential faults and vulnerable parts of all systems of the flight simulator can be accurately positioned, diagnosed and predicted, necessary maintenance or replacement can be carried out in time, and safe and reliable operation of the flight simulator in the whole life cycle is ensured.

Description

Technical Field

[0001] The present application belongs to the technical field of flight simulator health management, and in particular, relates to a flight simulator health management method and device. Background Art

[0002] Flight simulators, a typical human-in-the-loop simulation system, have been widely used in the entire life cycle of aircraft development. With the continuous improvement of flight simulator performance and the increasing complexity, the reliability, stability, health assessment and prediction, and maintenance guarantee of flight simulators have attracted more and more attention. At present, the maintenance of flight simulators is still mainly based on regular maintenance and maintenance, and the purpose of preventing system failures is achieved through more, more diligent and more detailed work. This method not only consumes a lot of manpower, material and financial resources, but also has extremely low efficiency. Regardless of whether the flight simulator fails or not, it is necessary to perform a safety inspection on it, or perform maintenance work on it after the failure occurs, and at the same time determine the cause of the failure. This often leads to problems such as excessive maintenance and long maintenance intervals. Excessive maintenance will cause a certain degree of waste and reduce efficiency, while too long maintenance time may cause system failures to occur again. Post-maintenance and planned maintenance are difficult to prevent catastrophic failures, and often easily cause unnecessary downtime, with the risk of introducing maintenance damage. Summary of the invention

[0003] In order to solve the above problems, the present application provides a flight simulator health management method and device to solve the problem of long maintenance and overhaul intervals.

[0004] The first aspect of the present application provides a flight simulator health management method, which mainly includes:

[0005] Step S1, collecting the working status and performance data of the flight simulator;

[0006] Step S2: comparing the collected data with a preset parameter index threshold;

[0007] Step S3, evaluating the current health status of the flight simulator according to the comparison result;

[0008] Step S4, evaluating the health status of the flight simulator in the future period of time according to the comparison result;

[0009] Step S5: Make corresponding management or maintenance decisions based on the health status.

[0010] Preferably, in step S2, the parameter indicator threshold is pre-stored in a fault knowledge base, and each fault type corresponds to a plurality of parameter indicator thresholds.

[0011] Preferably, the parameter indicator thresholds in the fault knowledge base are set according to historical detection data, historical statistical data and simulator parameter models pre-stored in the comprehensive database.

[0012] Preferably, the health status includes whether a fault occurs and whether a parameter is degraded.

[0013] The second aspect of the present application provides a flight simulator health management device, which mainly includes:

[0014] Data acquisition module, used to collect the working status and performance data of the flight simulator;

[0015] The status monitoring module is used to compare the collected data with the pre-set parameter index thresholds;

[0016] A health assessment module, used for assessing the current health status of the flight simulator according to the comparison result;

[0017] A fault prediction module is used to evaluate the health status of the flight simulator in the future based on the comparison results;

[0018] The fault decision module is used to make corresponding management or maintenance decisions based on the health status.

[0019] Preferably, in the state monitoring module, the parameter indicator threshold is pre-stored in a fault knowledge base, and each fault type corresponds to a plurality of parameter indicator thresholds.

[0020] Preferably, the parameter indicator thresholds in the fault knowledge base are set according to historical detection data, historical statistical data and simulator parameter models pre-stored in the comprehensive database.

[0021] Preferably, the health status includes whether a fault occurs and whether a parameter is degraded.

[0022] This application can accurately locate, diagnose, and predict potential failures and vulnerable parts of each system of the flight simulator, and perform necessary repairs or replacements in a timely manner to ensure safe and reliable operation of the flight simulator throughout its life cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a system architecture diagram of a preferred embodiment of the flight simulator health management device of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical scheme and advantages of the implementation of this application clearer, the technical scheme in the implementation of this application will be described in more detail in combination with the drawings in the implementation of this application. In the drawings, the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The described implementation is a part of the implementation of this application, not all of the implementations. The implementation described below with reference to the drawings is exemplary and is intended to be used to explain this application, and cannot be understood as a limitation on this application. Based on the implementation in this application, all other implementations obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. The implementation of this application is described in detail below in combination with the drawings.

[0025] This application provides a flight simulator health management method, such as Figure 1 As shown, it mainly includes:

[0026] Step S1, collecting the working status and performance data of the flight simulator;

[0027] Step S2: comparing the collected data with a preset parameter index threshold;

[0028] Step S3, evaluating the current health status of the flight simulator according to the comparison result;

[0029] Step S4, evaluating the health status of the flight simulator in the future period of time according to the comparison result;

[0030] Step S5: Make corresponding management or maintenance decisions based on the health status.

[0031] This application proposes a flight simulator health management method for the design requirements of high mission coverage, high utilization, high fidelity, high safety and high reliability of flight simulators, which is used to monitor the working status and main parameters of each system of the flight simulator in real time, grasp the reliability status of each system of the flight simulator, evaluate the health of each system of the flight simulator and predict the remaining life and other performance indicators, carry out condition-based maintenance for the actual status of each system of the flight simulator, and timely monitor, classify and predict faults, so as to realize the functions of status and trend analysis of each system of the flight simulator, time prediction and failure mode design, reliability index and risk factor evaluation, and optimization of maintenance and repair strategies. On this basis, the potential faults and vulnerable parts of each system of the flight simulator can be accurately located, diagnosed and predicted, and necessary repairs or replacements can be carried out in time to ensure the safe and reliable operation of the flight simulator throughout its life cycle and achieve the goal of economic affordability of the flight simulator.

[0032] First, in step S1, data that can reflect the working status and performance of the flight simulator, aircraft, simulated cockpit and other systems are obtained as the data source of the flight simulator health management system. For the above data, it is necessary to further determine whether it is analyzable, that is, whether it has certain regularities. The obtained data of each system of the flight simulator is preprocessed to determine the analyzability of the data, and then the data of each system of the flight simulator that has been determined to be analyzable is denoised to make the characteristic components therein easier to identify and extract.

[0033] Then, the flight simulator is monitored in step S2, which mainly records the status information, abnormal information, warning information, fault information and prediction information of each system of the flight simulator during real-time operation. It is necessary to extract the characteristic components of the denoised data of each system of the aircraft simulator, establish the corresponding relationship between the characteristic signals in different frequency ranges and the different fault factors of the system, compare these data with the pre-set thresholds and limit values ​​of various parameter indicators, so as to judge the current status of the flight simulator system and provide a basis for the health assessment and fault location of the flight simulator.

[0034] In some optional implementations, in step S2, the parameter index threshold is pre-stored in the fault knowledge base, and each fault type corresponds to multiple parameter index thresholds. For example, fault A corresponds to parameter a with index threshold a1, parameter b with index threshold b1, and parameter d with index threshold d1; fault B corresponds to parameter a with index threshold a2, parameter c with index threshold c1; fault C corresponds to parameter b with index threshold b2, parameter d with index threshold d2, and so on.

[0035] Then in step S3, a health assessment of the flight simulator is performed. It can be understood that when the monitoring data meets the multiple parameter indicator thresholds corresponding to a certain fault, it can indicate that the flight simulator has the current type of fault. According to the corresponding parameters, this step can further diagnose the fault location and cause, provide decision support and solutions for flight simulator fault prediction, and provide a basis for system fault recovery.

[0036] Then in step S4, the fault prediction of the flight simulator is performed, that is, based on the detected parameter changes, it can be predicted how long it will take for the parameter to reach the parameter index threshold in the future, thereby causing the corresponding fault.

[0037] According to step S3 and step S4, the health status includes whether a fault occurs and whether a parameter is degraded. Step S3 can directly give a conclusion on whether a fault occurs, and step S4 can analyze how long it will take for a fault to occur in the future based on parameter degradation.

[0038] Finally, in step S5, a fault decision is made. The fault decision mainly includes two aspects. One is to make a maintenance decision for the equipment or component according to the fault type or the fault location mentioned above after the fault occurs. The other is to make a decision on equipment maintenance or maintenance based on the health status in the future period predicted by step S4 and the historical maintenance data in the fault knowledge base.

[0039] In some optional implementations, the parameter index thresholds in the fault knowledge base are set according to the historical detection data, historical statistical data and simulator parameter models pre-stored in the comprehensive database. In this embodiment, the normal data of each system of the flight simulator is stored in the comprehensive database, including historical monitoring data, historical statistical data, simulator parameter models, etc., and then the corresponding relationship between the data and the fault phenomenon is constructed to build a fault knowledge base.

[0040] In addition, the fault decision given in step S5 can be sent to the operation interface of the pilot, instructor, and maintenance personnel through the human-machine interface module.

[0041] This application proposes a concept of condition-based maintenance. Based on the current status of each system of the flight simulator, data mining technology is used to analyze data resources related to the operation and maintenance of the flight simulator, which is used as the basis for fault prediction and health management. There is no need to wait until the fault actually occurs before responding, thereby achieving the goal of "economic affordability". This invention can timely grasp the reliability status of each system of the flight simulator, accurately evaluate the health of each system of the flight simulator and predict the remaining life, and combine the actual status of the flight simulator to achieve the best schedule planning and obtain the best maintenance performance, ensuring the safe and reliable operation of the flight simulator throughout its life cycle.

[0042] The second aspect of the present application provides a flight simulator health management device corresponding to the above method, such as Figure 1 As shown, it mainly includes:

[0043] Data acquisition module 1, used to collect the working status and performance data of the flight simulator;

[0044] The status monitoring module 3 is used to compare the collected data with the pre-set parameter index threshold;

[0045] A health assessment module 4, used for assessing the current health status of the flight simulator according to the comparison result;

[0046] The fault prediction module 5 is used to evaluate the health status of the flight simulator in the future according to the comparison result;

[0047] The fault decision module 6 is used to make corresponding management or maintenance decisions according to the health status.

[0048] A data processing module 2 is also provided between the data acquisition module 1 and the status monitoring module 3 to determine whether the collected data is analyzable.

[0049] In some optional implementations, in the state monitoring module, the parameter indicator threshold is pre-stored in the fault knowledge base 8, and each fault type corresponds to a plurality of parameter indicator thresholds.

[0050] In some optional implementations, the parameter indicator thresholds in the fault knowledge base 8 are set based on historical detection data, historical statistical data and simulator parameter models pre-stored in the comprehensive database 7 .

[0051] In some optional implementations, the health status includes whether a fault occurs and whether a parameter is degraded.

[0052] In addition, the present application also includes a human-machine interface module 9, which is used to send the fault decision to the operation interface of the pilot, instructor, and maintenance personnel.

[0053] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A flight simulator health management method, characterized in that: include: Step S1, collecting the working status and performance data of the flight simulator; Step S2: comparing the collected data with a preset parameter index threshold; Step S3, evaluating the current health status of the flight simulator according to the comparison result; Step S4, evaluating the health status of the flight simulator in the future period of time according to the comparison result; Step S5: Make corresponding management or maintenance decisions based on the health status.

2. The flight simulator health management method according to claim 1, characterized in that: In step S2, the parameter indicator threshold is pre-stored in a fault knowledge base, and each fault type corresponds to a plurality of parameter indicator thresholds.

3. The flight simulator health management method according to claim 2, characterized in that: The parameter index thresholds in the fault knowledge base are set according to the historical detection data, historical statistical data and simulator parameter models pre-stored in the comprehensive database.

4. The flight simulator health management method according to claim 1, characterized in that: The health status includes whether a fault occurs and whether a parameter is degraded.

5. A flight simulator health management device, characterized in that: include: Data acquisition module, used to collect the working status and performance data of the flight simulator; The status monitoring module is used to compare the collected data with the pre-set parameter index thresholds; A health assessment module, used for assessing the current health status of the flight simulator according to the comparison result; A fault prediction module is used to evaluate the health status of the flight simulator in the future based on the comparison results; The fault decision module is used to make corresponding management or maintenance decisions based on the health status.

6. The flight simulator health management device according to claim 5, characterized in that: In the state monitoring module, the parameter indicator threshold is pre-stored in a fault knowledge base, and each fault type corresponds to a plurality of parameter indicator thresholds.

7. The flight simulator health management device according to claim 6, characterized in that: The parameter index thresholds in the fault knowledge base are set according to the historical detection data, historical statistical data and simulator parameter models pre-stored in the comprehensive database.

8. The flight simulator health management device according to claim 5, characterized in that: The health status includes whether a fault occurs and whether a parameter is degraded.

Images