CN213123069U - Aircraft health management system - Google Patents

Aircraft health management system Download PDF

Info

Publication number
CN213123069U
CN213123069U CN202022154261.2U CN202022154261U CN213123069U CN 213123069 U CN213123069 U CN 213123069U CN 202022154261 U CN202022154261 U CN 202022154261U CN 213123069 U CN213123069 U CN 213123069U
Authority
CN
China
Prior art keywords
data
module
airborne
fault
management
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202022154261.2U
Other languages
Chinese (zh)
Inventor
崔世蒙
蒋欣
唐剑
王轶
王兆兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Commercial Aircraft Corp of China Ltd
Beijing Aeronautic Science and Technology Research Institute of COMAC
Original Assignee
Commercial Aircraft Corp of China Ltd
Beijing Aeronautic Science and Technology Research Institute of COMAC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Commercial Aircraft Corp of China Ltd, Beijing Aeronautic Science and Technology Research Institute of COMAC filed Critical Commercial Aircraft Corp of China Ltd
Priority to CN202022154261.2U priority Critical patent/CN213123069U/en
Application granted granted Critical
Publication of CN213123069U publication Critical patent/CN213123069U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The application discloses aircraft health management system, the system includes: an airborne terminal and a server terminal; the airborne terminal is used for acquiring the operation parameters of an airborne system of the airplane and sending the operation parameters of the airborne system of the airplane to the server terminal; and the server side is used for performing health management analysis according to the operating parameters of the aircraft onboard system to obtain an aircraft health analysis result. The consumption of computing and storing resources of the airborne end is reduced, the requirements for the computing and storing resources of the airborne end are reduced, the computing and analyzing capability of the server end and the support of big data and knowledge can be fully utilized, the intelligent inference and predictive analysis of airplane faults are realized, and the airplane health analysis result is obtained, so that the airplane health analysis result is more accurate; and the data transmission and centralized management of the server are utilized to realize the health assessment of the fleet and the remote loading of airborne data, and assist the dispatch of the decision-making plane.

Description

Aircraft health management system
Technical Field
The application relates to the field of aircraft health management, in particular to an aircraft health management system.
Background
The management object of the airplane health management is a single airplane, and the health state of the airplane is judged or predicted by acquiring warning information, fault information, airplane/engine state information and other information of the airplane and analyzing and processing the warning information, the fault information, the airplane/engine state information and other information of the airplane.
In the mainstream models at present, an onboard maintenance system for managing the health of an aircraft in the aircraft is a main consumption object of aircraft computing resources and network resources, for example, a separate computer is adopted in a C919 aircraft to handle the health management of the aircraft. With the continuous application of advanced sensing, airborne informatization, artificial intelligence and big data technology on an airplane in the future, an airborne health management system is going to operate more complex algorithms to process more and more data, so as to realize more accurate and reliable fault detection and positioning and highly reliable health prediction, thereby bringing about huge consumption of the airborne health management system on airborne computing and storage resources, which is a great challenge on the airborne computing and storage resources. Therefore, a solution that can reduce the requirement for onboard computing and storage resources while ensuring the normal operation of the health management of the aircraft is needed.
SUMMERY OF THE UTILITY MODEL
The application provides an aircraft health management system, so that the consumption of computing and storing resources of an airborne end can be reduced, the requirements on the computing and storing resources of the airborne end are reduced, even the weight and the volume of equipment of the airborne end are reduced, the computing and analyzing capability of a server end and the support of big data and knowledge can be further fully utilized, the aircraft health analysis result can be obtained through intelligent inference and predictive analysis of aircraft faults, the aircraft health analysis result is more accurate (for example, fault diagnosis is more accurate), the aircraft faults can be warned conveniently, fault parts are replaced in advance, and flight delay caused by mechanical faults is reduced; in addition, data transmission and centralized management of a server end can be utilized, health assessment of the fleet and remote loading of airborne data can be achieved, dispatch of the decision-making plane is assisted, and work of maintenance personnel is relieved.
The present application provides an aircraft health management system, the system comprising: an airborne terminal and a server terminal; the airborne terminal is in communication connection with the server terminal;
the airborne terminal is used for acquiring the operation parameters of an airborne system of the airplane and sending the operation parameters of the airborne system of the airplane to the server terminal;
and the server side is used for performing health management analysis according to the operating parameters of the aircraft onboard system to obtain an aircraft health analysis result.
Optionally, the onboard end includes: the integrated modularized avionics device and the information system device; the comprehensive modular avionics device is respectively connected with the aircraft onboard system and the information system device, and the information system device is in communication connection with the server;
the comprehensive modularized avionic device is used for acquiring the operating parameters of an airborne system of the airplane and sending the operating parameters to the information system device;
and the information system device is used for carrying out information safety check on the received data, and storing and sending the received data to the comprehensive modular avionics device or the server side if the received data meets the safety requirement.
Optionally, the aircraft onboard system includes: the system comprises an avionic system, a flight control system, a power system and an electromechanical system; the operating parameters include: status parameters, fault reporting information, EICAS data, and configuration data.
Optionally, the integrated modular avionics device comprises a data acquisition and transmission module;
the data acquisition and transmission module is used for acquiring the operating parameters of an airborne system of the airplane; processing the operation parameters according to a preset format to obtain processed operation parameters; and sending the processed operation parameters to the information system device according to a preset sending mechanism.
Optionally, the information system apparatus includes: the system comprises an information security module, an airborne communication module, an airborne data loading module and an airborne data emergency storage module;
the information security module is used for carrying out information security check on the received data;
the airborne communication module is used for sending data to the server side or receiving the data sent by the server side;
the airborne data loading module is used for loading data with the server or the terminal equipment when the airplane is in a ground maintenance mode;
and the airborne data emergency storage module is used for storing the acquired operation parameters of the airborne system of the airplane under the condition that the airborne communication module stops being used.
Optionally, the airborne communication module includes a ground-to-air broadband communication unit and/or an airborne broadband satellite communication unit.
Optionally, the server includes a data transceiving processing device, a black box device, a data monitoring management device, a data repository, and a data analysis management device;
the data receiving and transmitting processing device is used for receiving the operation parameters of the airplane airborne system sent by the airborne terminal; analyzing the operation parameters to obtain analyzed operation parameters, and storing the analyzed operation parameters;
the black box device is used for determining data meeting airworthiness investigation conditions in the analyzed operation parameters and storing the data meeting the airworthiness investigation conditions to a data storage library;
the data monitoring management device is used for carrying out data monitoring management according to the analyzed operating parameters to obtain monitoring management data;
the data storage library is used for storing operation parameters, various models and various knowledge data;
and the data configuration loading device is used for carrying out data configuration loading on the monitoring management data and the data in the data storage library.
Optionally, the data storage library includes a model library, a knowledge library and a database, where the model library is used to store various models, the knowledge library is used to store various knowledge data, and the database is used to store data received by the server or data generated by each device and module in the server.
Optionally, the data monitoring and managing device includes a single-machine fault diagnosis module, a single-machine event monitoring module, a single-organization type management module, a fault reasoning and predicting module, and a fleet health monitoring, evaluating and data management module;
the single-machine fault diagnosis module is used for performing operations such as data processing, cascading effect suppression, fault combination, correlation of fault data and EICAS data, generation of maintenance messages, data storage and the like on the fault report information in the operation parameters;
the single-machine event monitoring module is used for monitoring various abnormal events and the like of the airplane according to the state parameters in the operation parameters;
the single mechanism type management module is used for monitoring and confirming the consistency of the configuration data in the operation parameters and providing the query and management functions of the configuration data;
the fleet health monitoring, evaluating and data managing module is used for monitoring the flight dynamics, positions, faults, EICAS and other information of the fleet in real time; providing an electronic link between the fault and the service manual; evaluating the health level of the fleet, finishing sequencing according to the health indexes, and determining decision references corresponding to dispatching and maintenance tasks of the airplane; providing comprehensive management functions of fault data, maintenance data, configuration data, a model base, a knowledge base, calculation result data, basic data and the like of the whole machine;
the fault reasoning and predicting module is used for acquiring a fault machine learning model from the model base aiming at the complex fault and determining the fault diagnosis and the fault mode of the complex fault based on the fault machine learning model, or acquiring a fault intelligent knowledge reasoning engine from the knowledge base and determining a fault maintenance suggestion based on the fault intelligent knowledge reasoning engine; for simple faults, fault diagnosis and fault maintenance suggestions are determined according to a fault and maintenance manual; and predicting the slowly-varying faults and the performances based on the operation parameters and the prediction models in the model base to obtain a fault prediction result.
Optionally, the data configuration loading device includes a model library and knowledge base configuration module, a self-service data analysis module, a maintenance data and job viewing module, and an FLS management and remote loading module;
the model base and knowledge base configuration module is used for configuring the model base and the knowledge base according to preset configuration parameters;
the self-service data analysis module is used for generating a data analysis result according to a data analysis request and based on the data in the data storage library;
the maintenance data and operation checking module is used for inquiring and retrieving data based on the data in the data storage library and the work tasks of all devices and modules according to the inquiry and retrieval request;
the FLS management and remote loading module is used for performing basic management on the FLS according to the FLS management loading request and/or performing remote FLS loading operation on the airplane in a maintenance mode.
It can be seen from the above technical solutions that the present application provides an aircraft health management system, the system including: an airborne terminal and a server terminal. The airborne terminal is used for acquiring the operation parameters of an airborne system of the airplane and sending the operation parameters of the airborne system of the airplane to the server terminal; and the server side is used for performing health management analysis according to the operating parameters of the aircraft onboard system to obtain an aircraft health analysis result. Therefore, in the aircraft health management system provided by the application, the airborne end only needs to acquire the operating parameters of the airborne system of the aircraft, the operation parameters do not need to be calculated and analyzed, but the service of calculating and analyzing the operation parameters is transferred to a server side on the ground, therefore, the consumption of the calculation and storage resources of the airborne end is reduced, the requirements on the calculation and storage resources of the airborne end are reduced, even the weight and the volume of the airborne end equipment are reduced, the calculation and analysis capability of the server end and the support of big data and knowledge can be further fully utilized, the intelligent reasoning and predictive analysis of the airplane fault can be realized to obtain the airplane health analysis result, so that the airplane health analysis result is more accurate (such as fault diagnosis is more accurate), therefore, the airplane fault can be early warned, the fault part can be replaced in advance, and the flight delay caused by mechanical faults is reduced; in addition, data transmission and centralized management of a server end can be utilized, health assessment of the fleet and remote loading of airborne data can be achieved, dispatch of the decision-making plane is assisted, and work of maintenance personnel is relieved.
Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.
Drawings
In order to more clearly illustrate the embodiments or prior art solutions of the present application, the drawings needed for describing the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and that other drawings can be obtained by those skilled in the art without inventive exercise.
FIG. 1 is a schematic structural diagram of an aircraft health management system according to an embodiment of the present application;
fig. 2 is a schematic view illustrating a working process of a black box device according to an embodiment of the present disclosure;
FIG. 3 is a schematic illustration of a workflow for aircraft fault diagnosis provided by an embodiment of the present application;
fig. 4 is a schematic workflow diagram of event monitoring according to an embodiment of the present application;
FIG. 5 is a schematic illustration of a workflow for aircraft fault prediction according to an embodiment of the present application;
fig. 6 is a schematic diagram of a data loading workflow according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following embodiments and accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Various non-limiting embodiments of the present application are described in detail below with reference to the accompanying drawings.
Referring to fig. 1, an aircraft health management system in an embodiment of the present application is shown, which may be implemented in an aircraft, such as a civilian aircraft. In this embodiment, the aircraft health management system includes: an airborne terminal and a server terminal. The server end can communicate with the airborne end through a ground-air broadband data link, or communicate with the airborne end through broadband satellite communication no matter whether the server end is provided with no base station.
In this embodiment, the onboard end may be configured to collect operation parameters of an onboard system of an aircraft, and send the operation parameters of the onboard system of the aircraft to the server end. Wherein the aircraft onboard system may include: avionics systems, flight control systems, power systems, and electromechanical systems, the operational parameters may include: status parameters (e.g., operating voltage, power-on conditions, etc.), fault reporting information (e.g., BITE fault reporting information), EICAS (Engine display And Crew warning System) data, And configuration data (e.g., information about the model of the equipment, equipment parameters, etc.). It can be understood that the airborne terminal can acquire the respective corresponding operating parameters of the avionic system, the flight control system, the power system and the electromechanical system through the aircraft data bus. The airborne terminal can also send different data in the operation parameters to the server terminal according to corresponding formats and sending periods. It should be noted that, in an implementation manner, the onboard end further supports user personalized configuration data acquisition, that is, data acquired by the onboard end may be set according to actual needs of a user.
And the server side is used for performing health management analysis according to the operating parameters of the aircraft onboard system to obtain an aircraft health analysis result. That is to say, after the server side obtains the operating parameters of the aircraft onboard system, data analysis such as health and management can be performed on the operating parameters of the aircraft onboard system according to the actual requirements of the user, so as to obtain an aircraft health analysis result.
In one embodiment, the onboard end comprises: the integrated modularized avionics device and the information system device; the comprehensive modularized avionic device is respectively connected with the aircraft airborne system and the information system device, and the information system device is in communication connection with the server side.
The Integrated Modular Avionics (IMA) device is used for collecting the operating parameters of an airborne system of the aircraft and sending the operating parameters to the information system device. In one implementation, the integrated modular avionics device may include a data acquisition and transmission module and other software modules. The data acquisition and transmission module can be used for acquiring the operating parameters of an airborne system of the airplane, for example, the operating parameters corresponding to each system of an avionic system, a flight control system, a power system and an electromechanical system can be acquired through an airplane data bus; the data acquisition and transmission module may be further configured to process the operation parameters according to a preset format to obtain processed operation parameters, and it may be understood that, for each of the operation parameters, a preset format corresponding to the parameter may be determined first, and then the parameter is converted into data conforming to the preset format, so that each adjusted parameter may be used as a processed operation parameter; the data acquiring and sending module may also be configured to send the processed operating parameters to the information system device according to a preset sending mechanism, and it may be understood that, for each of the processed operating parameters, a preset sending mechanism (e.g., a preset sending period or sending time) corresponding to the parameter may be determined first, and then the parameter is sent to the server end according to the preset sending mechanism corresponding to the parameter.
The information system device is configured to perform information security check on the received data (e.g., whether a virus exists, whether the received data is a messy code, whether the received data is a receivable data type, whether the received data is data sent by a security device, and the like), and store and send the received data to the integrated modular avionic device or the server side if the received data meets security requirements.
Specifically, the information system apparatus may include: the system comprises an information security module, an airborne communication module, an airborne data loading module and an airborne data emergency storage module. The information security module can be connected with the comprehensive modularized avionic device (such as a data acquisition and sending module), the airborne data loading module, the airborne data emergency storage module and the airborne communication module, the airborne communication module can also be connected with the airborne data loading module and the airborne data emergency storage module, and the airborne communication module can be connected with the server end through a ground-air broadband data link or broadband satellite communication.
And the information security module is used for carrying out information security check on the received data. In this embodiment, the information security module may help the onboard end construct a relatively isolated protection barrier between the internal network and the external network, so as to protect the data information security of the onboard end. For example, the information security module can timely find and process safety risks, data transmission and other problems which may exist when the airborne terminal operates, wherein the processing measures include isolation and protection, and meanwhile, recording and detection can be implemented on various operations in network security of the airborne terminal, so that the operation safety of the airborne terminal is ensured, the integrity of data information of the airborne terminal is guaranteed, and better and safer network use experience is provided for users. That is to say, when the data acquisition and sending module, the airborne data loading module and the recorded data emergency storage module need to receive data or transmit data, the data all need to be verified through the safety check of the information security module.
The airborne communication module is used for sending data to the server side, receiving the data sent by the server side, sending data to other third-party equipment or receiving the data sent by other third-party equipment. It can be understood that, after the security check and verification of the information security module on the data to be sent are passed, the data can be sent to the server side or the third-party device by the airborne communication module; or after the airborne communication module receives the data or the request sent by the server or the third-party equipment, the data or the request can be sent to the information security module, and after the security check and verification of the received data by the information security module are passed, the data is sent to the target device or the target module by the information security module. It should be noted that the airborne communication module may include a ground-air broadband communication unit for connecting with a ground-air broadband data link and/or an airborne broadband satellite communication unit for connecting with broadband satellite communication.
The airborne data loading module is used for loading data with the server or the terminal device (namely, a third-party device) when the airplane is in a ground maintenance mode. That is to say, in the ground maintenance mode of the aircraft, a maintenance person can load data of the aircraft remotely through the server side, and can also link the aircraft network through a wired or wireless mode by using a third-party device (such as a maintenance notebook) on the maintenance site to realize the loading of data on the site.
And the airborne data emergency storage module is used for storing the acquired operation parameters of the airborne system of the airplane under the condition that the airborne communication module stops being used. For example, in the case that neither the ground-to-air broadband communication nor the broadband satellite communication function is available, the onboard data emergency storage module may store onboard data (such as the acquired operating parameters of the onboard system of the aircraft) in a certain format to an onboard storage medium; if the communication is recovered, the data stored by the airborne data emergency storage module can be downloaded to a server side under the ground request instruction, or when the airplane is maintained in a landing state, maintenance personnel operate and download the data stored by the airborne data emergency storage module through third-party equipment on the air route.
The server side comprises a data receiving and transmitting processing device, a black box device, a data monitoring management device, a data storage library and a data analysis management device. The data receiving and transmitting processing device is respectively connected with the black box device and the data monitoring management device, and can be connected with the airborne terminal through a ground-air broadband data link or broadband satellite communication; the data monitoring management device is connected with the data storage library, and the data storage library is connected with the data analysis management device.
The data receiving and sending processing device is used for receiving the operation parameters of the airplane-mounted system sent by the airplane-mounted end, and it can be understood that the data receiving and sending processing device can receive real-time data sent by different airlines and different airplanes. It should be emphasized that, because the data sent by the onboard end is the data stored according to the preset format, and in order to improve the confidentiality and the security of data transmission, the data sent by the onboard end to the server end may be encrypted data, and accordingly, the data transceiving processing device may be configured to analyze the operating parameters to obtain analyzed operating parameters, and store the analyzed operating parameters, that is, the data transceiving processing device may decrypt the received data and/or decode the data according to the analysis rule corresponding to the data, and then may store the decrypted and/or decoded data in the onboard end user group corresponding to the data, that is, in the database/folder of the onboard end corresponding to the data. It should be noted that, in the ground maintenance mode, the data transceiver may upload the loadable data requested by the user to the network (i.e., the onboard end) on board the aircraft through the air-to-ground data link.
And the black box device is used for determining data meeting airworthiness survey conditions in the analyzed operation parameters and storing the data meeting the airworthiness survey conditions to a data storage library. The black box device may determine data that meets airworthiness survey conditions (may be used for performing aircraft aviation surveys) from the data received and analyzed by the data transceiver processing device, for example, the data may be data that can reflect a three-dimensional flight process, cockpit instrument panel display playback data, and flight quality analysis data; next, the data meeting the airworthiness survey condition may be stored in the database/folder of the onboard terminal corresponding to the data in the database of the data repository. As an example, as shown in fig. 2, after the data transceiver processing device receives data sent by the vehicle-mounted terminal and analyzes, processes and stores the data, the black box device may determine data meeting airworthiness survey conditions from the data, so as to support functions of data viewing, three-dimensional flight process, cockpit instrument panel display playback, flight quality analysis, and the like of a user.
And the data monitoring management device is used for carrying out data monitoring management according to the analyzed operating parameters to obtain monitoring management data. It can be understood that the data monitoring and managing device may perform data monitoring and management on the aircraft according to the data processed by the data transceiving and processing device and the data in the data storage library, so as to obtain monitoring and management data corresponding to the aircraft.
As an example, the data monitoring and management device may include a stand-alone fault diagnosis module, a stand-alone event monitoring module, a single organization type management module, a fault reasoning and forecasting module, and a fleet health monitoring, evaluating and data management module.
And the single-machine fault diagnosis module is used for performing operations such as data processing, cascading effect suppression, fault combination (namely, combination of related faults or faults of the same type), association of fault data and EICAS data, generation of maintenance messages, data storage and the like on the fault report information in the operating parameters. As an example, as shown in fig. 3, after the data transceiving processing device receives data sent by the onboard end and analyzes the data, the standalone fault diagnosis module may first determine fault report information in the analyzed operating parameters, then determine an aircraft model corresponding to the operating parameters, then obtain a fault diagnosis model corresponding to the aircraft model from a model library of a data repository, and use the fault report information (such as standalone BITE fault report information) as an input of the fault diagnosis model, where the fault diagnosis model performs processing such as input processing, cascade effect suppression, fault merging, association of a fault report with EICAS data, generation of a maintenance message, storage, and the like based on the fault report information, so that a user may view parameters associated with each fault.
And the single-machine event monitoring module is used for monitoring various abnormal events and the like of the airplane according to the state parameters in the operation parameters. The abnormal events of the airplane can be understood as the conditions that the state data of the airplane in operation do not belong to the normal data range, such as various abnormal events of heavy landing, bump, performance overrun, trend and the like. As an example, as shown in fig. 4, after the data transceiver receives data sent by the onboard end and analyzes and processes the data, the single-machine event monitoring module may first determine a state parameter in the analyzed and processed operation parameters, then determine an aircraft model corresponding to the operation parameter, then obtain an abnormal event monitoring model corresponding to the aircraft model from a model library of a data repository, and use the state parameter as an input of the abnormal event monitoring model, where the abnormal event monitoring model monitors various abnormal events such as heavy landing, bump, performance overrun, and trend of the aircraft based on the state data, and reads corresponding monitoring data, and if the monitoring data is abnormal, that is, if the aircraft is monitored to have an abnormal event, a corresponding abnormal event report is triggered.
And the single mechanism type management module is used for monitoring and confirming the consistency of the configuration data in the operation parameters and providing the query and management functions of the configuration data. As an example, the data transceiver processing device receives data sent by an onboard end, and after the data is analyzed and processed, the single-mechanism type management module may first determine configuration data in the analyzed and processed operation parameters, then determine an aircraft model corresponding to the operation parameters, then obtain configuration data corresponding to the aircraft model and a configuration data monitoring model from the data repository, determine whether the configuration data in the obtained operation parameters is consistent with the configuration data corresponding to the aircraft model, if not, send a prompt, and the configuration data monitoring model performs configuration data anomaly monitoring based on the configuration data in the operation parameters, and if an anomaly event occurs in the configuration data, trigger a corresponding configuration data anomaly event report. In addition, the user can inquire the configuration data of the airplane and manage the configuration data of the airplane through the terminal device (for example, the configuration data of a certain type of airplane is modified).
The fault reasoning and predicting module, as shown in fig. 3, may be configured to, for a complex fault (for example, for a fault that cannot be eliminated through simple human judgment or a fault and maintenance manual or that a maintenance person needs detailed analysis), obtain a fault machine learning model from the model library, and determine a fault diagnosis and a fault mode of the complex fault based on the fault machine learning model, or obtain a fault intelligent knowledge reasoning engine from the knowledge library, and determine a fault maintenance suggestion based on the fault intelligent knowledge reasoning engine; for simple faults (i.e., faults that can be eliminated through a fault and service manual or that do not require detailed analysis by maintenance personnel), fault diagnosis and fault repair recommendations can be determined from the fault and service manual. The fault reasoning and predicting module can also be used for predicting the slowly-varying fault and the performance of the airplane based on the operation parameters and the prediction model in the model base to obtain a fault prediction result, so that maintenance personnel can be supported to maintain in time before the fault occurs by using the fault prediction result, and AOG is avoided; as an example, as shown in fig. 5, the data transceiving processing device receives data sent by the vehicle-mounted end, after analyzing and processing the data, the fault inference and prediction module may extract feature values of each parameter in the processed operating data (for example, taking an average value, a maximum value, a minimum value, or the like of a plurality of values of one parameter), the feature values may then be calculated using a predictive algorithm in the knowledge base of the data repository to obtain the time of occurrence of the predicted fault, thereby alerting the user via the terminal (e.g., displaying or voice prompting the time of occurrence of the predicted fault), alternatively, the characteristic value may be calculated by using a trend analysis algorithm in the knowledge base of the data repository to determine whether the characteristic value exceeds the warning value, so as to alert the user through the terminal (for example, display or voice prompt that a certain parameter of the airplane exceeds the warning value).
The fleet health monitoring, evaluating and data managing module can be used for monitoring the flight dynamics, position, fault, EICAS and other information of the aircraft fleet in real time, for example, the flight dynamics, position, fault, EICAS and other information of the aircraft fleet in real time according to the operation parameters of an aircraft onboard system; the fleet health monitoring, evaluation and data management module can also be used for providing electronic links for fault and maintenance manuals, and the fault and maintenance manuals can be used for determining faults of the aircraft and eliminating the faults; the fleet health monitoring, evaluating and data managing module can also be used for evaluating the health level of the fleet (for example, evaluating the health level of the fleet according to the operating parameters of an airborne system of the airplane), finishing sequencing according to the health indexes, and determining a decision reference corresponding to the dispatching and maintenance tasks of the airplane; the fleet health monitoring, evaluating and data management module can also be used for providing comprehensive management functions of fault data, maintenance data, configuration data, a model base, a knowledge base, calculation result data, basic data and the like of the whole fleet.
The data storage library is used for storing the operation parameters, various models and various knowledge data so as to enable other devices or modules to call the relevant data or models. Wherein the data repository includes a model base, a knowledge base, and a database. The model library is used for storing various models respectively corresponding to each model airplane, such as a fault diagnosis model, an abnormal event monitoring model, a configuration data monitoring model, a fault machine learning model, a prediction model and the like; the knowledge base is used for storing various knowledge data, such as fault and maintenance manuals, fault intelligent knowledge reasoning engines, prediction algorithms, trend analysis algorithms and other knowledge data; the database is used for storing data received by the server or data generated by each device and module in the server, for example, operation parameters of an aircraft airborne system received by an airborne communication module, an abnormal event report generated by a single-machine event monitoring module, a configuration data abnormal event report generated by a single-mechanism management module, a fault prediction result generated by a fault reasoning and prediction module, and the like.
The data configuration loading device may be configured to perform data configuration loading on the monitoring management data and the data in the data storage library. The data configuration loading device can be connected with the client, so that a user can load the monitoring management data and the data in the data storage library through the client in a data configuration mode. Specifically, the data configuration loading device comprises a model base and knowledge base configuration module, a self-service data analysis module, a maintenance data and operation viewing module and an FLS management and remote loading module.
And the model base and knowledge base configuration module is used for configuring the model base and the knowledge base according to preset configuration parameters. That is, the research and development engineer and the maintenance engineer may configure the knowledge or the model for diagnosis, monitoring and prediction in the model base and the knowledge base through the model base and the knowledge base configuration module by using the client.
The self-service data analysis module is used for generating a data analysis result according to the data analysis request and based on the data in the data storage library. As an example, a user can provide self-service data analysis capability for different business departments of an airline company through a client based on a self-service data analysis module, and only needs to generate a data analysis request in a simple dragging manner according to actual needs, so that personalized data analysis can be realized.
And the maintenance data and operation checking module is used for inquiring and retrieving data based on the data in the data storage bank and the work tasks of the devices and the modules according to the inquiry and retrieval request. As an example, a user may view information such as the state, the fault, and the configuration data of an airplane, the diagnosis result, the maintenance task, and the electronic publication generated by the server side through the client based on the maintenance data and the job viewing module, and it should be emphasized that in this embodiment, the client may be a mobile side, that is, in this embodiment, the query and retrieval operation of the mobile side is supported.
The FLS management and remote loading module is used for performing basic management on the FLS (field loadable software) according to the FLS management loading request and/or performing remote FLS loading operation on the airplane in a maintenance mode. As an example, as shown in fig. 6, if the FLS software in the client is connected to the FLS management and remote loading module, the FLS management and remote loading module may first determine whether the client needs to remotely load data; if a maintenance person is connected with the server end at an airline use terminal (such as portable equipment), the client does not need to be remotely loaded, at the moment, if the airplane is in the maintenance mode, a field loading mode is started to finish data loading of the airplane, and if the airplane is not in the maintenance mode, the airplane is waited to be in the maintenance mode; if the client determines that the data needs to be remotely loaded, the server can be remotely connected with the airplane to judge whether the airplane is in the maintenance mode, if so, the FLS is started to remotely load the data so as to complete the data loading of the airplane, and if not, the server waits for the airplane to be in the maintenance mode.
It is emphasized that the models mentioned in this embodiment may all be neural network models that have been trained.
It can be seen from the above technical solutions that the present application provides an aircraft health management system, the system including: an airborne terminal and a server terminal. The airborne terminal is used for acquiring the operation parameters of an airborne system of the airplane and sending the operation parameters of the airborne system of the airplane to the server terminal; and the server side is used for performing health management analysis according to the operating parameters of the aircraft onboard system to obtain an aircraft health analysis result. Therefore, in the aircraft health management system provided by the application, the airborne end only needs to acquire the operating parameters of the airborne system of the aircraft, the operation parameters do not need to be calculated and analyzed, but the service of calculating and analyzing the operation parameters is transferred to a server side on the ground, therefore, the consumption of the calculation and storage resources of the airborne end is reduced, the requirements on the calculation and storage resources of the airborne end are reduced, even the weight and the volume of the airborne end equipment are reduced, the calculation and analysis capability of the server end and the support of big data and knowledge can be further fully utilized, the intelligent reasoning and predictive analysis of the airplane fault can be realized to obtain the airplane health analysis result, so that the airplane health analysis result is more accurate (such as fault diagnosis is more accurate), therefore, the airplane fault can be early warned, the fault part can be replaced in advance, and the flight delay caused by mechanical faults is reduced; in addition, data transmission and centralized management of a server end can be utilized, health assessment of the fleet and remote loading of airborne data can be achieved, dispatch of the decision-making plane is assisted, and work of maintenance personnel is relieved.
It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. The above-described apparatus and system embodiments are merely illustrative, in that elements described as separate components may or may not be physically separate. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the preferred embodiment, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. An aircraft health management system, the system comprising: an airborne terminal and a server terminal; the airborne terminal is in communication connection with the server terminal;
the airborne terminal is used for acquiring the operation parameters of an airborne system of the airplane and sending the operation parameters of the airborne system of the airplane to the server terminal;
and the server side is used for performing health management analysis according to the operating parameters of the aircraft onboard system to obtain an aircraft health analysis result.
2. An aircraft health management system according to claim 1, wherein the onboard end comprises: the integrated modularized avionics device and the information system device; the comprehensive modular avionics device is respectively connected with the aircraft onboard system and the information system device, and the information system device is in communication connection with the server;
the comprehensive modularized avionic device is used for acquiring the operating parameters of an airborne system of the airplane and sending the operating parameters to the information system device;
and the information system device is used for carrying out information safety check on the received data, and storing and sending the received data to the comprehensive modular avionics device or the server side if the received data meets the safety requirement.
3. An aircraft health management system according to claim 2, wherein the system on board the aircraft comprises: the system comprises an avionic system, a flight control system, a power system and an electromechanical system; the operating parameters include: status parameters, fault reporting information, EICAS data, and configuration data.
4. An aircraft health management system according to claim 2, wherein said integrated modular avionics device comprises a data acquisition and transmission module;
the data acquisition and transmission module is used for acquiring the operating parameters of an airborne system of the airplane; processing the operation parameters according to a preset format to obtain processed operation parameters; and sending the processed operation parameters to the information system device according to a preset sending mechanism.
5. An aircraft health management system according to claim 2, wherein the information system means comprises: the system comprises an information security module, an airborne communication module, an airborne data loading module and an airborne data emergency storage module;
the information security module is used for carrying out information security check on the received data;
the airborne communication module is used for sending data to the server side or receiving the data sent by the server side;
the airborne data loading module is used for loading data with the server or the terminal equipment when the airplane is in a ground maintenance mode;
and the airborne data emergency storage module is used for storing the acquired operation parameters of the airborne system of the airplane under the condition that the airborne communication module stops being used.
6. An aircraft health management system according to claim 5, wherein the onboard communication module comprises a ground-to-air broadband communication unit and/or an onboard broadband satellite communication unit.
7. The aircraft health management system of claim 1, wherein the server side comprises a data transceiving processing device, a black box device, a data monitoring management device, a data storage library and a data analysis management device;
the data receiving and transmitting processing device is used for receiving the operation parameters of the airplane airborne system sent by the airborne terminal; analyzing the operation parameters to obtain analyzed operation parameters, and storing the analyzed operation parameters;
the black box device is used for determining data meeting airworthiness investigation conditions in the analyzed operation parameters and storing the data meeting the airworthiness investigation conditions to a data storage library;
the data monitoring management device is used for carrying out data monitoring management according to the analyzed operating parameters to obtain monitoring management data;
the data storage library is used for storing operation parameters, various models and various knowledge data;
and the data analysis management device is used for carrying out data configuration loading on the monitoring management data and the data in the data storage library.
8. The aircraft health management system of claim 7, wherein the data repository comprises a model library, a knowledge library and a database, the model library is used for storing various types of models, the knowledge library is used for storing various types of knowledge data, and the database is used for storing data received by the server side or data generated by various devices and modules in the server side.
9. The aircraft health management system of claim 8, wherein the data monitoring management device comprises a stand-alone fault diagnosis module, a stand-alone event monitoring module, a single organization type management module, a fault reasoning and prediction module, and a fleet health monitoring, assessment and data management module;
the single-machine fault diagnosis module is used for performing operations such as data processing, cascading effect suppression, fault combination, correlation of fault data and EICAS data, generation of maintenance messages, data storage and the like on the fault report information in the operation parameters;
the single-machine event monitoring module is used for monitoring various abnormal events and the like of the airplane according to the state parameters in the operation parameters;
the single mechanism type management module is used for monitoring and confirming the consistency of the configuration data in the operation parameters and providing the query and management functions of the configuration data;
the fleet health monitoring, evaluating and data managing module is used for monitoring the flight dynamics, positions, faults, EICAS and other information of the fleet in real time; providing an electronic link between the fault and the service manual; evaluating the health level of the fleet, finishing sequencing according to the health indexes, and determining decision references corresponding to dispatching and maintenance tasks of the airplane; providing comprehensive management functions of fault data, maintenance data, configuration data, a model base, a knowledge base, calculation result data, basic data and the like of the whole machine;
the fault reasoning and predicting module is used for acquiring a fault machine learning model from the model base aiming at the complex fault and determining the fault diagnosis and the fault mode of the complex fault based on the fault machine learning model, or acquiring a fault intelligent knowledge reasoning engine from the knowledge base and determining a fault maintenance suggestion based on the fault intelligent knowledge reasoning engine; for simple faults, fault diagnosis and fault maintenance suggestions are determined according to a fault and maintenance manual; and predicting the slowly-varying faults and the performances based on the operation parameters and the prediction models in the model base to obtain a fault prediction result.
10. An aircraft health management system according to claim 8, wherein the data analysis management means comprises a model base and knowledge base configuration module, a self-service data analysis module, a maintenance data and operations review module, and an FLS management and remote loading module;
the model base and knowledge base configuration module is used for configuring the model base and the knowledge base according to preset configuration parameters;
the self-service data analysis module is used for generating a data analysis result according to a data analysis request and based on the data in the data storage library;
the maintenance data and operation checking module is used for inquiring and retrieving data based on the data in the data storage library and the work tasks of all devices and modules according to the inquiry and retrieval request;
the FLS management and remote loading module is used for performing basic management on the FLS according to the FLS management loading request and/or performing remote FLS loading operation on the airplane in a maintenance mode.
CN202022154261.2U 2020-09-27 2020-09-27 Aircraft health management system Active CN213123069U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202022154261.2U CN213123069U (en) 2020-09-27 2020-09-27 Aircraft health management system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202022154261.2U CN213123069U (en) 2020-09-27 2020-09-27 Aircraft health management system

Publications (1)

Publication Number Publication Date
CN213123069U true CN213123069U (en) 2021-05-04

Family

ID=75665036

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202022154261.2U Active CN213123069U (en) 2020-09-27 2020-09-27 Aircraft health management system

Country Status (1)

Country Link
CN (1) CN213123069U (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114880922A (en) * 2022-04-15 2022-08-09 大连理工大学 Civil aviation-oriented flight data analysis and performance trend prediction system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114880922A (en) * 2022-04-15 2022-08-09 大连理工大学 Civil aviation-oriented flight data analysis and performance trend prediction system

Similar Documents

Publication Publication Date Title
CN112036771A (en) Aircraft health management system
US7196621B2 (en) Tracking system and associated method
US8768534B2 (en) Method and apparatus for using electronic flight bag (EFB) to enable flight operations quality assurance (FOQA)
US8150815B2 (en) System, method and computer program product for real-time event identification and course of action interpretation
US7860684B2 (en) Methods and systems for advanced spaceport information management
EP2430399B1 (en) Aircraft dispatch information
US20100057511A1 (en) Integrated autonomous fleet management using self-aware vehicles
EP3095712B1 (en) Virtual aircraft network
EP1426870A2 (en) Remote aircraft manufacturing, monitoring, maintenance and management system
EP1958738A1 (en) Remote diagnostic system for robots
US20100217638A1 (en) In service support center and method of operation
CN105404707B (en) Configurable onboard information processing
US20210024224A1 (en) Systems and methods for automatically recording interactivity and anomaly data at a vehicle
Zhang et al. A integrated vehicle health management framework for aircraft—A preliminary report
CN213123069U (en) Aircraft health management system
CN116405101A (en) Monitoring, controlling and disposing system and method for low-altitude digital resource and digital infrastructure
KR20140045367A (en) System for recommending helicopter engine maintenance
Felke et al. Architectures for integrated vehicle health management
Young et al. Flight Testing In-Time Safety Assurance Technologies for UAS Operations
CA2984726C (en) Apparatus and methods for assisting with aircraft maintenance using predetermined maintenance programs
EP3792186B1 (en) Internet connected auxiliary power unit airline maintenance system
Prajapati et al. A state of art review of integrated vehicle health management system
Shuo et al. Integrated Vehicle Health Management technology and its applications in commerical aviation
CN113095624A (en) Method and system for classifying unsafe events of civil aviation airport
US11610492B2 (en) Unified data management system for unmanned vehicles using distributed architecture

Legal Events

Date Code Title Description
GR01 Patent grant
GR01 Patent grant