CN117971979B - A method and system for storing aircraft maintenance data - Google Patents
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Abstract
The invention relates to the technical field of data storage and discloses a method and a system for storing aircraft maintenance data, wherein the method comprises the steps of obtaining information flow nodes generated in a historical shipping maintenance process and obtaining primary aircraft maintenance data according to the information flow nodes; the method comprises the steps of extracting time information, region information and maintenance work order numbers in primary aircraft maintenance data, dividing the data into a plurality of operation and maintenance areas according to the region information, sorting the primary aircraft maintenance data in each operation and maintenance area according to the time information and the maintenance work order numbers, carrying out distributed storage, acquiring release operation information generated in a historical shipping maintenance process, storing the release operation information as secondary aircraft maintenance data according to interaction data between the primary aircraft maintenance data and the release operation information, and establishing indexes according to the secondary aircraft maintenance data. The invention can quickly search and inquire the data, improves the usability and operability of the data, automatically completes the self-checking of the data and ensures the accurate compliance of the operation.
Description
Technical Field
The invention relates to the technical field of data storage, in particular to a method and a system for storing aircraft maintenance data.
Background
Maintenance update plans for aircraft are planned maintenance programs that are designed to ensure safe, reliable operation of the aircraft over its life cycle, and are commonly developed by aircraft manufacturers, airlines, and regulatory authorities, including periodic maintenance, inspection, and updating of the aircraft. Periodic maintenance and update plans help maintain optimal performance of the aircraft.
The large amount of data generated by aircraft maintenance is a challenge, and the conventional data storage method cannot meet the storage requirement of large-scale data, so that the method is unfavorable for efficiently analyzing various types of data generated by aircraft maintenance, and further consideration is needed for process control of data streams.
Therefore, it is urgently needed to invent a storage method of aircraft maintenance data, which is used for solving the technical problem that the traditional data storage method cannot efficiently process, store and manage the data generated by aircraft maintenance.
Disclosure of Invention
The invention aims to provide a method and a system for storing aircraft maintenance data, which aim to solve the technical problem that the traditional data storage method cannot efficiently process, store and manage the data generated by aircraft maintenance.
In one aspect, an embodiment of the present invention provides a method for storing aircraft maintenance data, including:
step S1, acquiring a plurality of information flow nodes generated in a historical shipping maintenance process, and acquiring primary aircraft maintenance data according to each information flow node;
step S2, extracting time information, region information and maintenance work order numbers in the primary aircraft maintenance data, dividing the data into a plurality of operation and maintenance areas according to the region information, and sequencing the primary aircraft maintenance data in each operation and maintenance area according to the time information and the maintenance work order numbers for distributed storage;
Step S3, acquiring release operation information generated in the historical shipping maintenance process, storing the release operation information as secondary aircraft maintenance data according to interaction data between the primary aircraft maintenance data and the release operation information, and establishing an index according to the secondary aircraft maintenance data;
S4, when an actual operation of shipping maintenance is generated, acquiring a historical flight plan and airplane schedule in the primary airplane maintenance data, comparing the historical flight plan and the airplane schedule with the actual operation, determining a time period and a work place of the actual operation, tracking and monitoring the actual operation to generate an operation audit list, and automatically storing an actual operation information flow;
S5, acquiring the actual operation information flow according to the index established by the secondary aircraft maintenance data, generating maintenance examination information, comparing the maintenance examination information with the operation examination list, and completing one-time operation self-checking;
S6, acquiring the actual operation information flow according to the index established by the secondary aircraft maintenance data, extracting the operator information of the actual operation, extracting license information in the operator information, analyzing the applicability range of the license information, and comparing whether the maintenance examination information falls into the applicability range to finish one-time self-inspection of personnel;
And S7, establishing a navigability evaluation according to the operation self-test and the personnel self-test, and generating a release record.
Preferably, in the step S1, the obtaining a plurality of information flow nodes generated in the historical shipping maintenance process, and obtaining primary aircraft maintenance data according to each information flow node includes:
Extracting an aircraft data field, wherein the aircraft data field comprises an aircraft model, a component list, a standard component list and a non-standard component list corresponding to the aircraft model;
Extracting maintenance data fields including extracting maintenance activity descriptors from the information flow nodes relating to daily inspections, periodic inspections, troubleshooting, repair and replacement, system calibration and adjustment, cleaning and maintenance, component inspections and maintenance, aircraft structure inspections, aircraft system updates and upgrades;
Extracting data fields of aviators, including aviators responsible for maintenance activities, constructing aviators groups by using a nested dictionary structure, defining a unique key for each aviator group in an internal dictionary, taking a member list of each aviator group as a value of a corresponding key, and presetting a key with weight set in an external dictionary for each aviator group.
Preferably, in the step S2, according to the extracted region information, it is determined that the boundary of the operation and maintenance area is divided according to the geographic position, administrative division, and airport/aviation station factors;
Determining the number of physical nodes or servers corresponding to each operation and maintenance area according to the data volume and a preset access mode, determining the number and the scale of the nodes according to the size of the data volume and the requirement of an access load, and carrying out redundant backup on the data in each operation and maintenance area to prevent single-point faults;
And in each operation and maintenance area, sequencing the primary aircraft maintenance data according to the extracted time information and the time sequence.
Preferably, in the step S3, the method includes:
Extracting release operation information, including release time, release personnel and release reasons;
according to the association between the release job information and the primary aircraft maintenance data, they are interacted and integrated to generate a shared attribute, wherein,
And matching the release operation information with the primary aircraft maintenance data according to the sharing attribute, and creating the secondary aircraft maintenance data.
Preferably, in the step S5, the method includes:
tracking the record and storage of the secondary aircraft maintenance data, extracting maintenance inspection information and related part replacement records from the secondary aircraft maintenance data, wherein the maintenance inspection information comprises task types, task descriptions, executives and the like, and the part replacement records comprise replaced part names, replacement time, replacement reasons and the like;
According to the association between the maintenance inspection information and the part replacement record, check and signature comparison is carried out, and the maintenance inspection information and the part replacement record are compared by using an algorithm;
and generating maintenance examination information according to the result of the check comparison, wherein the examination information comprises the step of evaluating the compliance of maintenance tasks and generating a check sheet for replacing parts.
Preferably, the operator demand information is analyzed and generated according to the positions of the parts related in the part replacement nuclear label.
Preferably, in step S6, the extracting the license information in the worker information, analyzing the applicability range of the license information, comparing whether the maintenance inspection information falls within the applicability range, and completing a self-check of the worker, including:
acquiring the requirement information of operators, including maintenance positions and types;
Acquiring an operation and maintenance area in the maintenance and inspection information, acquiring the type of the airworthiness aircraft maintenance license of the operation and maintenance area, and analyzing the level of the airworthiness aircraft maintenance license according to a maintenance position;
acquiring license information of the worker information, and extracting the type and the level in the license information;
When the type of the license information is the same as the type of the aircrafts maintenance license of the operation and maintenance area, extracting the level of the license information to be lower than the level of the aircrafts maintenance license of the operation and maintenance area, and recording a self-checking alarm;
and when the type of the license information is the same as the type of the aircrafts in the operation and maintenance area, extracting the level of the license information to be higher than the level of the aircrafts in the operation and maintenance area, and recording a self-check qualification.
Preferably, the step S7 of creating a release record according to the job self-check and the personnel self-check to establish a seaworthiness evaluation includes:
acquiring actual operation of shipping maintenance to analyze airplane operation, and when faults or defects affecting the navigable properties exist, carrying out release operation;
generating a release record according to the result of the airworthiness evaluation, wherein the release record comprises the details of the maintenance and inspection process, the result of the airworthiness evaluation and a release decision, and the details of the inspection process comprise:
Checking the operation self-checking information, and acquiring the identification information of the aircraft, the date and place of maintenance and inspection from the primary aircraft maintenance data;
And checking the personnel self-checking information, and acquiring the signature, the navigation performance evaluation result and the release decision of the maintenance personnel from the secondary aircraft maintenance data.
On the other hand, the embodiment of the invention also provides a storage system of the aircraft maintenance data, which is suitable for the storage method of the aircraft maintenance data in the embodiment of the invention, and comprises the following steps:
the acquisition module is used for acquiring a plurality of information flow nodes generated in the historical shipping maintenance process and acquiring primary aircraft maintenance data according to each information flow node;
The storage module is used for extracting time information, region information and maintenance work order numbers in the primary aircraft maintenance data, dividing the data into a plurality of operation and maintenance areas according to the region information, and sequencing the primary aircraft maintenance data in each operation and maintenance area according to the time information and the maintenance work order numbers for distributed storage;
the index module is used for acquiring release operation information generated in the historical shipping maintenance process, storing the release operation information into secondary aircraft maintenance data according to interaction data between the primary aircraft maintenance data and the release operation information, and establishing an index according to the secondary aircraft maintenance data;
The archiving module is used for acquiring a historical flight plan and airplane schedule in the primary airplane maintenance data to be compared with the actual operation when generating the actual operation of shipping maintenance, determining the time period and the working place of the actual operation, tracking and monitoring the actual operation to generate an operation audit list, and automatically storing the information flow of the actual operation;
the monitoring module acquires the actual operation information flow according to the index established by the secondary aircraft maintenance data, generates maintenance examination information, compares the maintenance examination information with the operation examination list and completes one-time operation self-inspection;
The monitoring module further comprises:
acquiring the actual operation information flow according to the index established by the secondary aircraft maintenance data, extracting the operator information of the actual operation, extracting license information in the operator information, analyzing the applicability range of the license information, comparing whether the maintenance examination information falls into the applicability range, and completing one-time self-inspection of personnel;
And the airworthiness module establishes an airworthiness evaluation according to the operation self-test and the personnel self-test, and generates a release record.
Compared with the prior art, the storage system for the aircraft maintenance data has the beneficial effects that:
The method comprises the steps of obtaining a plurality of information flow nodes generated in a historical shipping maintenance process, extracting primary aircraft maintenance data, dividing and sorting the data according to time information and region information by a storage module, carrying out distributed storage, ensuring effective management and storage of the data, generating secondary aircraft maintenance data by utilizing interactive data between the primary aircraft maintenance data and release operation information, establishing an index, and thus being convenient for quick retrieval and inquiry of the data, improving the availability and operability of the data, automatically completing self-checking of the data and ensuring the accuracy and compliance of the operation.
The storage system of the aircraft maintenance data provided by the invention is applied to the storage method of the aircraft maintenance data, has the same beneficial effects and is not repeated.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments, and the accompanying drawings are only for purposes of illustrating the preferred embodiments and are not to be taken as limiting the invention. In the drawings:
FIG. 1 is a flow chart diagram of a method of storing aircraft maintenance data in accordance with an embodiment of the present invention;
FIG. 2 is a block diagram of a storage system for aircraft maintenance data in accordance with an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure is embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that, without conflict, the embodiments of the present invention and the features of the embodiments are combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
As shown in fig. 1, a method for storing aircraft maintenance data according to an embodiment of the present invention includes:
Step S1, acquiring a plurality of information flow nodes generated in a historical shipping maintenance process, and acquiring primary aircraft maintenance data according to each information flow node;
Step S2, extracting time information, region information and maintenance work order numbers in the primary aircraft maintenance data, dividing the data into a plurality of operation and maintenance areas according to the region information, and sequencing the primary aircraft maintenance data in each operation and maintenance area according to the time information and the maintenance work order numbers for distributed storage;
Step S3, acquiring release operation information generated in the historical shipping maintenance process, storing the release operation information as secondary aircraft maintenance data according to interaction data between the primary aircraft maintenance data and the release operation information, and establishing an index according to the secondary aircraft maintenance data;
S4, when an actual operation of shipping maintenance is generated, acquiring a historical flight plan and airplane schedule in primary airplane maintenance data, comparing the historical flight plan and the airplane schedule with the actual operation, determining a time period and a work place of the actual operation, tracking and monitoring the actual operation to generate an operation audit list, and automatically storing an actual operation information flow;
S5, acquiring an actual operation information flow according to an index established by the secondary aircraft maintenance data, generating maintenance examination information, comparing the maintenance examination information with an operation examination list, and completing one-time operation self-checking;
S6, acquiring an actual operation information flow according to an index established by the secondary aircraft maintenance data, extracting the operator information of the actual operation, extracting license information in the operator information, analyzing the applicability range of the license information, comparing whether maintenance examination information falls into the applicability range, and completing one-time self-inspection of personnel;
And S7, establishing a navigability evaluation according to the operation self-test and the personnel self-test, and generating a release record.
In some embodiments of the present application, in step S1, obtaining a plurality of information flow nodes generated in a historical shipping maintenance process, and obtaining primary aircraft maintenance data according to each information flow node includes:
extracting aircraft data fields, including aircraft models and corresponding component lists, standard component lists and non-standard component lists;
extracting maintenance data fields including extracting maintenance activity descriptors from the information flow nodes involving daily inspection, periodic inspection, troubleshooting, repair and replacement, system calibration and adjustment, cleaning and maintenance, component inspection and maintenance, aircraft structure inspection, aircraft system updates and upgrades;
Extracting data fields of aviators, including aviators responsible for maintenance activities, constructing aviators groups by using a nested dictionary structure, defining a unique key for each aviator group in an internal dictionary, taking a member list of each aviator group as a value of a corresponding key, and presetting a key with weight set in an external dictionary for each aviator group.
Specifically, a plurality of information flow nodes in the historical shipping maintenance process are extracted, primary aircraft maintenance data including an aircraft data field, a maintenance data field and a aviator data field are obtained according to each information flow node, and the steps are carried out according to the following steps:
an information flow node in a traversal history shipping maintenance process, comprising:
acquiring an aircraft data field of each information flow node, wherein the aircraft data field comprises an aircraft model and a component list, a standard component list and a non-standard component list corresponding to the aircraft model;
The maintenance data field of each information flow node is obtained, and the maintenance data field comprises daily check, periodical check, fault removal, maintenance and replacement, system calibration and adjustment, cleaning and maintenance, component check and maintenance, aircraft structure check, aircraft system update and upgrade and other information related to maintenance activity descriptors.
And acquiring data fields of aviators in charge of maintenance activities in each information flow node.
Building a population of aviators using nested dictionary structures, comprising:
in the internal dictionary, a unique key is defined for each aviator population.
Taking a member list of each aviator group as a value of a corresponding key;
In the external dictionary, preset weight settings for each aviator population, including:
Using unique keys of the aviator population as keys of an external dictionary;
The weight of each aviator population is set to the value of the corresponding key.
In particular, the component manifest describes a manifest of the main components or modules of each main component of the aircraft, including the main structure, systems and devices of the aircraft, such as wings, fuselage, engines, landing gear, hatches, etc.;
The parts list details the parts contained in each assembly, which is a list of specific parts or parts contained in each assembly on the aircraft, such as turbine blades of aircraft engines, fuel pumps, ignition systems, etc., and is important for maintenance and repair of the aircraft for determining the specific parts that need replacement or repair;
the standard part list is a list of standardized parts used on the aircraft, and the standard part list lists the standardized parts used on the aircraft, and the standard parts are authenticated and standardized parts, are generally universal and replaceable and accord with industry standards and specifications;
While the nonstandard part list is a list of nonstandard parts used on the aircraft, the nonstandard parts refer to parts customized according to specific requirements or designs, cannot be directly replaced or are commonly used on other aircraft, the nonstandard part list describes the types, specifications and the number of nonstandard parts used on the aircraft, such as specific types of sensors, controllers, avionics systems and the like, and management of the nonstandard parts requires more customization work and supply chain management because they may require special design, manufacture and maintenance;
in summary, these checklists play an important role in aircraft manufacturing, maintenance and repair processes, helping to manage the construction and use of components of the aircraft.
It can be understood that the accuracy, the integrity and the storage and reading efficiency of the aircraft maintenance data can be ensured by storing the aircraft maintenance data through the data processing, and better maintenance management and decision basis is provided for airlines and aviators.
In some embodiments of the present application, in step S2, it is determined that the boundary dividing the operation and maintenance area is divided according to the geographic location, administrative division, airport/airport station factors according to the extracted region information;
Determining the number of physical nodes or servers corresponding to each operation and maintenance area according to the data volume and a preset access mode, determining the number and the scale of the nodes according to the size of the data volume and the requirement of access load, and carrying out redundant backup on the data in each operation and maintenance area to prevent single-point faults;
and in each operation and maintenance area, sequencing the first-level aircraft maintenance data according to the extracted time information and the time sequence.
In particular, the data is ordered in time order using ordering operations in a MapReduce framework, which is understood to be a programming model and computational framework for large-scale data processing that breaks down data processing tasks into two phases, mapping and reduction.
In the mapping phase, the input data is divided into a number of data blocks, each of which is processed by a mapping function that converts the input data into the form of key-value pairs and generates intermediate results.
In the reduction stage, the intermediate results are processed by a reduction function to generate final output results. The reduction function merges and processes intermediate results with the same key to obtain the final result.
The core idea of the MapReduce framework is parallel processing and distributed computing, which can perform mapping and reduction tasks in parallel in a large-scale cluster to improve the efficiency and performance of data processing.
Specifically, in this embodiment, a MapReduce framework is used, in the mapping stage, each computing node splits input data into key-value pairs, and maps the data into key-value pairs according to a time field, where the key is a time field and the value is corresponding data, then, in the reduction stage, the framework transfers data pairs with the same time to a reduction function, in the reduction function, data with different times can be sorted using a built-in sorting algorithm (such as fast sorting or merging sorting) or a custom sorting logic, specifically, sorting is performed in ascending order or descending order according to the time field, and finally, the sorted result is output.
In summary, the advantages of using the MapReduce framework for chronological ordering include parallel processing, scalability, fault tolerance, flexibility and ease of use, which allows for an efficient and reliable ordering solution in a large-scale data processing scenario.
In some embodiments of the present application, step S3 includes:
extracting release operation information, including release time, release personnel and release reasons;
according to the association between the release job information and the primary aircraft maintenance data, they are interacted and integrated to generate a shared attribute, wherein,
And matching the release operation information with the primary aircraft maintenance data according to the shared attribute, and creating the secondary aircraft maintenance data.
In some embodiments of the present application, step S5 includes:
Tracking the record and storage of the secondary aircraft maintenance data, extracting maintenance inspection information and related part replacement records from the secondary aircraft maintenance data, wherein the maintenance inspection information comprises task types, task descriptions, executives and the like, and the part replacement records comprise replaced part names, replacement time, replacement reasons and the like;
According to the association between the maintenance inspection information and the part replacement record, check and signature comparison is carried out, and the maintenance inspection information and the part replacement record are compared by using an algorithm;
And generating maintenance examination information according to the check comparison result, wherein the examination information comprises the steps of evaluating the compliance of maintenance tasks and generating a check list for replacing parts.
In some embodiments of the present application, the operator demand information is generated based on the component locations involved in the component replacement checklist.
In some embodiments of the present application, in step S6, license information in the worker information is extracted, an applicability range of the license information is analyzed, whether maintenance inspection information falls within the applicability range is compared, and a worker self-inspection is completed, including:
acquiring the requirement information of operators, including maintenance positions and types;
Acquiring an operation and maintenance area in the maintenance and inspection information, acquiring the type of the airworthiness aircraft maintenance license of the operation and maintenance area, and analyzing the level of the airworthiness aircraft maintenance license according to the maintenance position;
Acquiring license information of the worker information, and extracting the type and the level in the license information;
When the type of the license information is the same as the type of the aircrafts maintenance license of the operation and maintenance area, extracting that the level of the license information is lower than the level of the aircrafts maintenance license of the operation and maintenance area, and recording a self-checking alarm;
When the type of the license information is the same as the type of the aircrafts maintenance license of the operation and maintenance area, the class of the aircrafts maintenance license of the area with the class of Yu Yunwei is extracted from the license information, and a self-check qualification is recorded.
In some embodiments of the present application, in step S7, a navigability assessment is established according to the job self-test and the personnel self-test, and a release record is generated, including:
acquiring actual operation of shipping maintenance to analyze airplane operation, and when faults or defects affecting the navigable properties exist, carrying out release operation;
Generating a release record according to the result of the airworthiness evaluation, wherein the release record comprises the details of the maintenance and inspection process, the result of the airworthiness evaluation and a release decision, and the details of the inspection process comprise:
Checking the operation self-checking information, and acquiring the identification information of the aircraft, the date and place of maintenance and inspection from the primary aircraft maintenance data;
and checking personnel self-checking information, and acquiring a signature of a maintainer, an evaluation result of the navigability and a release decision from the secondary aircraft maintenance data.
On the other hand, referring to fig. 2, the embodiment of the present invention further provides a system for storing aircraft maintenance data, which is applicable to a method for storing aircraft maintenance data according to the above embodiments of the present invention, including:
the acquisition module acquires a plurality of information flow nodes generated in the historical shipping maintenance process, and acquires primary aircraft maintenance data according to each information flow node;
The storage module is used for extracting time information, region information and maintenance work order numbers in the primary aircraft maintenance data, dividing the data into a plurality of operation and maintenance areas according to the region information, and sequencing the primary aircraft maintenance data in each operation and maintenance area according to the time information and the maintenance work order numbers for distributed storage;
the index module is used for acquiring release operation information generated in the historical shipping maintenance process, storing the release operation information into second-level aircraft maintenance data according to the interaction data between the first-level aircraft maintenance data and the release operation information, and establishing an index according to the second-level aircraft maintenance data;
The archiving module is used for acquiring a historical flight plan and airplane schedule in the primary airplane maintenance data to be compared with the actual operation when generating the actual operation of shipping maintenance, determining the time period and the working place of the actual operation, tracking and monitoring the actual operation to generate an operation audit list, and automatically storing the information flow of the actual operation;
The monitoring module acquires an actual operation information flow according to an index established by the secondary aircraft maintenance data, generates maintenance examination information, compares the maintenance examination information with an operation examination list and completes one-time operation self-inspection;
The monitoring module, still include:
Acquiring an actual operation information flow according to an index established by the secondary aircraft maintenance data, extracting the operator information of the actual operation, extracting license information in the operator information, analyzing the applicability range of the license information, comparing whether maintenance examination information falls into the applicability range, and completing one-time self-inspection of personnel;
And the seaworthiness module establishes one seaworthiness evaluation according to the operation self-check and the personnel self-check, and generates a release record.
The collection module can obtain a plurality of information flow nodes generated in the historical shipping maintenance process, extract primary aircraft maintenance data, and the storage module divides and sorts the data according to time information and region information and performs distributed storage so as to ensure effective management and storage of the data.
The index module generates secondary aircraft maintenance data by utilizing the interaction data between the primary aircraft maintenance data and the release operation information, and establishes an index, so that the data can be conveniently and rapidly searched and inquired, and the availability and operability of the data are improved.
The archiving module compares the historical flight schedule and the airplane schedule with the actual operation, determines the time period and the working place of the actual operation, tracks and monitors, and the monitoring module acquires the actual operation information flow and generates maintenance examination information by using the index of the secondary airplane maintenance data. Meanwhile, the self-checking of one-time operation is completed by comparing and maintaining the checking information and the operation checking list, and the accuracy and compliance of the operation are ensured.
The monitoring module further comprises an index for maintaining data of the secondary aircraft, extracts operator information of actual operation, analyzes the applicability range of license information, completes self-checking of primary personnel by comparing whether maintenance checking information accords with the applicability range, establishes primary navigability evaluation according to results of operation self-checking and personnel self-checking, and generates a release record.
And acquiring a plurality of information flow nodes generated in the historical shipping maintenance process, extracting primary aircraft maintenance data, dividing and sorting the data according to time information and region information by a storage module, and carrying out distributed storage to ensure effective management and storage of the data.
And generating secondary aircraft maintenance data by utilizing the interactive data between the primary aircraft maintenance data and the release operation information, and establishing an index, so that the data can be conveniently and rapidly searched and inquired, and the availability and operability of the data are improved.
And comparing the historical flight schedule and the airplane schedule with the actual operation, determining the time period and the working place of the actual operation, tracking and monitoring, acquiring an actual operation information flow by using the index of the secondary airplane maintenance data by the monitoring module, and generating maintenance examination information. Meanwhile, the self-checking of one-time operation is completed by comparing and maintaining the checking information and the operation checking list, and the accuracy and compliance of the operation are ensured.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that modifications and equivalents of the specific embodiments of the present invention can be made without departing from the spirit and scope of the present invention, and any modifications and equivalents thereof should be covered by the scope of the claims of the present invention.
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| CN113378540A (en) * | 2021-07-06 | 2021-09-10 | 东航技术应用研发中心有限公司 | Flight recording system of airplane |
| CN116029700A (en) * | 2023-02-07 | 2023-04-28 | 中国人民解放军空军工程大学航空机务士官学校 | A task-based method for aircraft system damage assessment and maintenance information determination |
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