CN111832776A - Management method and system for cluster maintenance - Google Patents

Management method and system for cluster maintenance Download PDF

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CN111832776A
CN111832776A CN202010604744.XA CN202010604744A CN111832776A CN 111832776 A CN111832776 A CN 111832776A CN 202010604744 A CN202010604744 A CN 202010604744A CN 111832776 A CN111832776 A CN 111832776A
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许宏江
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Hainan Taimei Airlines Co ltd
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Abstract

The invention discloses a management method and a management system for cluster maintenance, and relates to the field of aviation operation. The method comprises the following steps: the safety monitoring platform acquires the state information of a plurality of airplanes in real time, diagnoses the state information and acquires maintenance tasks according to the diagnosis result; the report analysis server obtains maintenance time, maintenance place stay time and stay time corresponding to the maintenance tasks according to the historical airplane maintenance task report and the travel lists of the plurality of airplanes; and the safety maintenance platform determines maintenance schedules of a plurality of airplanes according to the maintenance duration, the stay duration and the stay time. The problem that the flight schedule is interfered or the flight is cancelled due to overlong maintenance time caused by the fact that the maintenance task is repeated or the maintenance time is missed due to human errors is solved, the flight income is guaranteed, the landing time of the airplane is minimized, and the problem that the flight task of the airplane is interfered due to overlong maintenance time is reduced.

Description

Management method and system for cluster maintenance
Technical Field
The invention relates to the field of aviation operation, in particular to a management method and a management system for cluster maintenance.
Background
Airline operations center operators manage the operation of thousands of flights per day, both in an attempt to minimize the costly delay and cancellation of flights, and to comply with complex maintenance constraints.
In the maintenance process, an airline usually performs daily maintenance or abnormal inspection and maintenance of the airplane within the time when the airplane lands on the ground, maintenance personnel are required to be added along with the increase of the number of airplanes to be maintained at the landing time point, if the maintenance personnel cannot complete the maintenance within a short time, the flight time needs to be delayed for compensation, the flight mission of the flight is affected, meanwhile, the repetition of the maintenance mission or the missing of the maintenance time caused by human errors cannot be avoided, so that the flight schedule is interfered, or the flight is cancelled due to overlong maintenance time, and the flight profit loss is caused; reasonable coordination is not formed between the flight task and the maintenance task of the cluster, so that the flight income is lost, and the overall maintenance efficiency of the cluster is low.
Disclosure of Invention
The invention aims to solve the technical problem of providing a management method and a management system for cluster maintenance aiming at the defects of the prior art.
The technical scheme for solving the technical problems is as follows:
a management method for cluster maintenance comprises the following steps:
the safety monitoring platform acquires the state information of a plurality of airplanes in real time, diagnoses the state information and acquires maintenance tasks according to the diagnosis result;
the report form analysis server obtains maintenance duration corresponding to the maintenance task according to a historical airplane maintenance task report form;
the report form analysis server obtains the stay time and the stay time of each airplane at the maintenance place according to the travel schedule of each airplane;
and the safety maintenance platform determines the maintenance schedule of the plurality of airplanes according to the maintenance duration, the stay duration and the stay time.
The invention has the beneficial effects that: according to the scheme, the state information of a plurality of airplanes is obtained in real time, the state information is diagnosed, the maintenance tasks are obtained according to the diagnosis result, the maintenance time corresponding to the maintenance tasks is obtained according to a historical airplane maintenance task report, and the stay time of each airplane in a maintenance place are obtained according to the travel list of each airplane; and the safety maintenance platform determines the maintenance schedules of the plurality of airplanes according to the maintenance duration, the stay duration and the stay time, and the airplane maintenance personnel can reasonably arrange to maintain each airplane based on the determined maintenance schedules and the schedule. The problem that the flight schedule is interfered or the flight is cancelled due to overlong maintenance time caused by the fact that the maintenance task is repeated or the maintenance time is missed due to human errors is solved, the flight income is guaranteed, the landing time of the airplane is minimized, and the problem that the flight task of the airplane is interfered due to overlong maintenance time is reduced.
Further, still include: and sending a reservation task to an operation platform according to the potential abnormal maintenance task, reserving the airplane with the potential abnormal maintenance task for maintenance, and if the airplane does not execute the reservation task, continuously initiating a warning prompt to the operation platform until the reservation task is completed.
The beneficial effect of adopting the further scheme is that: according to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the airplane with the potential abnormal maintenance task is reserved for maintenance, warning reminding is carried out when the maintenance task is not completed, the potential abnormality of the airplane can be relieved as soon as possible, the problem that expensive cost is needed for maintenance when the airplane breaks down due to the fact that the potential abnormality is not maintained and eliminated in time is avoided, and meanwhile the travel delay of the airplane due to the fault is reduced.
Another technical solution of the present invention for solving the above technical problems is as follows:
a fleet maintenance management system, comprising: the system comprises a safety monitoring platform, a report form analysis server and a safety maintenance platform;
the safety monitoring platform is used for acquiring state information of a plurality of airplanes in real time, diagnosing the state information and obtaining maintenance tasks according to diagnosis results;
the report form analysis server is used for obtaining maintenance duration corresponding to the maintenance task according to a historical airplane maintenance task report form; the system is also used for obtaining the stay time and the stay time of each airplane at the maintenance place according to the trip list of each airplane;
and the safety maintenance platform is used for determining maintenance travel lists of the plurality of airplanes according to the maintenance duration, the stopping duration and the stopping time.
According to the scheme, the state information of a plurality of airplanes is obtained in real time, the state information is diagnosed, the maintenance tasks are obtained according to the diagnosis result, the maintenance time corresponding to the maintenance tasks is obtained according to a historical airplane maintenance task report, and the stay time of each airplane in a maintenance place are obtained according to the travel list of each airplane; and the safety maintenance platform determines the maintenance schedules of the plurality of airplanes according to the maintenance duration, the stay duration and the stay time, and the airplane maintenance personnel can reasonably arrange to maintain each airplane based on the determined maintenance schedules and the schedule. The problem that the flight schedule is interfered or the flight is cancelled due to overlong maintenance time caused by the fact that the maintenance task is repeated or the maintenance time is missed due to human errors is solved, the flight income is guaranteed, the landing time of the airplane is minimized, and the problem that the flight task of the airplane is interfered due to overlong maintenance time is reduced.
Further, still include: and the abnormity maintenance module is used for sending a reservation task to an operation platform according to the potential abnormity maintenance task, reserving the airplane with the potential abnormity maintenance task for maintenance, and if the airplane does not execute the reservation task, continuously initiating a warning prompt to the operation platform until the reservation task is completed.
The beneficial effect of adopting the further scheme is that: according to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the airplane with the potential abnormal maintenance task is reserved for maintenance, warning reminding is carried out when the maintenance task is not completed, the potential abnormality of the airplane can be relieved as soon as possible, the problem that expensive cost is needed for maintenance when the airplane breaks down due to the fact that the potential abnormality is not maintained and eliminated in time is avoided, and meanwhile the travel delay of the airplane due to the fault is reduced.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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Fig. 1 is a schematic flowchart of a management method for cluster maintenance according to an embodiment of the present invention;
FIG. 2 is a network architecture diagram of cluster maintenance management provided by other embodiments of the present invention;
fig. 3 is a block diagram of a management system for cluster maintenance according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth to illustrate, but are not to be construed to limit the scope of the invention.
As shown in fig. 1, a management method for cluster maintenance according to an embodiment of the present invention includes:
the safety monitoring platform acquires the state information of a plurality of airplanes in real time, diagnoses the state information and acquires maintenance tasks according to the diagnosis result. Wherein the state information includes: the aircraft operation state information, the report information of the technical personnel and the monitoring data of the safety monitoring department, and the flight operation state information can comprise: automatically detecting and reporting changing status information of an aircraft during a primary flight phase, the primary flight phase comprising: pushing out the gate, lifting off the ground, landing and stopping the gate; the status information may include flight plan information, meteorological information, flight data, and flight status monitoring information, among others. The technician's reporting information may include: analysis data of fault tracing and troubleshooting; the monitoring data of the safety monitoring department can comprise real-time message information of the engine.
In one embodiment, the method comprises the steps of obtaining airplane running state information, report information of technicians and monitoring data of a safety monitoring department;
and correlating the state information, the report information and the monitoring data aiming at the data of the same aircraft component, analyzing the loss degree of the corresponding component according to the correlation result of each aircraft component, and determining that the aircraft component has potential fault information when the loss degree exceeds a preset value.
Wherein, the report information of the technical personnel can be obtained through a tracking fault display module and a troubleshooting expert support system; the Aircraft running state information can be acquired by an ACARS (Aircraft Communications addressing and reporting System) message receiving workstation of an airline company, an Aircraft communication addressing and reporting system, which is a digital data chain system for transmitting short messages or messages between an Aircraft and a ground station through radio or satellite; the monitoring data of the safety monitoring department can be acquired by the engine real-time message monitoring conversion system.
And transferring the data from the troubleshooting database to a main database with the participation of an ATA engineer according to the aircraft running state information, the report information of technicians and the monitoring data of a safety monitoring department, carrying out exploration analysis and pretreatment on the data, further analyzing the data by constructing a data mining model, and analyzing the potential fault according to the maintenance result data.
The aircraft wear degree and the potential fault information are analyzed through aircraft running state information, report information of technicians and monitoring data of a safety monitoring department, multi-party prediction information is collected and integrated into fault mining experience information, the aircraft wear degree and the potential fault are analyzed from the experience information, maintenance reference information is provided for maintenance personnel, the maintenance personnel can conveniently make maintenance tasks, and the troubleshooting efficiency of the maintenance personnel is improved.
The report form analysis server obtains maintenance duration corresponding to the maintenance task according to the historical airplane maintenance task report form; the aircraft maintenance task report form comprises the following steps: maintenance task type and maintenance duration;
the report form analysis server obtains the stay time and the stay time of each airplane at the maintenance place according to the travel schedule of each airplane;
and the safety maintenance platform determines maintenance schedules of a plurality of airplanes according to the maintenance duration, the stay duration and the stay time.
In one embodiment, according to a historical aircraft maintenance task report, maintenance time corresponding to different types of maintenance tasks is obtained, when the maintenance task is an independent single maintenance task, according to the type of the maintenance task, maintenance time is determined, the stay time and the stay time of an aircraft needing to do the maintenance task at a maintenance place are obtained, the maintenance task is put into the time meeting the maintenance time of a maintenance schedule of the aircraft, namely in a schedule of the aircraft, the time with the stay time longer than the maintenance time is selected as the starting time of the maintenance task, and if the aircraft has a travel change due to external reasons, such as abnormal weather and personnel movement problems, other times meeting the stay time longer than the maintenance time are selected and adjusted to be the starting time of the maintenance task.
In another embodiment, the maintenance time corresponding to different types of maintenance tasks is obtained according to a historical aircraft maintenance task report, when the maintenance tasks comprise a plurality of subtasks, the subtasks have an association relation, the maintenance time of the independent subtasks is respectively obtained according to the total time of the maintenance tasks, the subtasks are respectively marked according to the maintenance sequence, the maintenance time is sequentially arranged in a maintenance schedule of the aircraft to be maintained according to the maintenance time of the subtasks and the sequence, wherein the stay time of the aircraft to be maintained is longer than the maintenance time of the subtasks, if the stay time is longer than the maintenance time of the subtasks, the next subtask of the subtask is arranged in the stay time, and when all the subtasks are completed, the parent maintenance task is marked to be completed. The maintenance schedule of the aircraft is shown in table 1:
Figure BDA0002558125260000061
in a certain embodiment, as shown in fig. 2, the security detection platform acquires state information of the fleet, integrates and performs correlation analysis on the state information, excavates content required to be maintained by the aircraft, and formulates a maintenance task of the fleet according to the maintenance content; the report analysis server obtains the landing idle time of the cluster by obtaining a historical aircraft maintenance task report and a flight task travel report of the cluster; and the safety maintenance platform formulates a maintenance travel table of the cluster according to the cluster maintenance task sent by the safety detection platform and the landing idle time of the cluster sent by the report analysis server.
According to the scheme, the state information of a plurality of airplanes is obtained in real time, the state information is diagnosed, the maintenance tasks are obtained according to the diagnosis result, the maintenance time corresponding to the maintenance tasks is obtained according to a historical airplane maintenance task report, and the stay time of each airplane at a maintenance place are obtained according to the trip list of each airplane; the safety maintenance platform determines the maintenance travel lists of the plurality of airplanes according to the maintenance time length, the stay time length and the stay time, so that the landing time of the airplanes is minimized, and the interference of overlong maintenance time to the flight tasks of the airplanes is reduced.
Preferably, in any of the above embodiments, further comprising: when the time of a first airplane is delayed, replacing the maintenance travel of the first airplane with an airplane with the same type of maintenance task in waiting, and rearranging the maintenance task of the first airplane according to the delayed time, wherein the first airplane is any one of the plurality of airplanes.
According to the scheme, by monitoring the flight time of the airplane, the airplane in the maintenance schedule is delayed, the airplane of the same type of maintenance task in waiting is arranged to replace the maintenance schedule of the delayed airplane, and the maintenance task is rearranged on the delayed airplane, so that when the delay occurs, the maintenance schedule of the delayed airplane can be adjusted in time by a maintenance engineering management department, the labor cost caused by the delay is reduced, and the maintenance efficiency of the whole maintenance task is improved.
Preferably, in any of the above embodiments, further comprising: and predicting a potential abnormal maintenance task by associating the historical daily maintenance information, the historical abnormal maintenance information and the real-time state information of the airplane through a data mining algorithm, and determining the maintenance time and the maintenance deadline time according to the content of the potential abnormal maintenance task.
It should be noted that, the data mining algorithm may search out the daily maintenance task 1 item set and the corresponding support degree based on the association rule Apriori algorithm, and prune to remove the 1 item set lower than the support degree, so as to obtain the frequent 1 item set. And then connecting the remaining frequent item sets 1 to obtain a frequent item set 2 of the abnormal maintenance information, screening and removing the candidate frequent item set 2 of the abnormal maintenance information lower than the support degree to obtain a real frequent item set 2, repeating the steps until a frequent item set k +1 cannot be found, wherein the corresponding frequent item set k is a potential abnormal information result output by the algorithm. The association of the daily maintenance task with the potential abnormal information can also be realized through other mining algorithms.
According to the scheme, the relation between the daily maintenance task and the abnormal task is excavated through association and depth, potential abnormality is found in the daily maintenance task, abnormal maintenance time is arranged in advance, and high maintenance cost and maintenance time when the abnormality occurs are reduced.
Preferably, in any of the above embodiments, the aircraft maintenance task report includes: maintenance task type and maintenance duration.
Preferably, in any of the above embodiments, further comprising: and sending a reservation task to the operation platform according to the potential abnormal maintenance task, reserving the airplane with the potential abnormal maintenance task for maintenance, and if the airplane does not execute the reservation task, continuously initiating a warning prompt to the operation platform until the reservation task is completed.
According to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the airplane with the potential abnormal maintenance task is reserved for maintenance, warning reminding is carried out when the maintenance task is not completed, the potential abnormality of the airplane can be relieved as soon as possible, the problem that the airplane needs to be maintained at high cost when the airplane breaks down due to the fact that the potential abnormality is not maintained and eliminated in time is avoided, and meanwhile the travel delay of the airplane due to the failure is reduced.
In one embodiment, as shown in fig. 3, a management system for cluster maintenance includes: the system comprises a safety monitoring platform 11, a report form analysis server 12 and a safety maintenance platform 13;
the safety monitoring platform 11 is used for acquiring state information of a plurality of airplanes in real time, diagnosing the state information and obtaining maintenance tasks according to the diagnosis result;
the report analysis server 12 is used for obtaining maintenance duration corresponding to the maintenance task according to the historical airplane maintenance task report; the system is also used for obtaining the stay time and the stay time of each airplane at the maintenance place according to the trip list of each airplane;
the safety maintenance platform 13 is configured to determine maintenance schedules of a plurality of airplanes according to the maintenance duration, the stop duration, and the stop time.
According to the scheme, the state information of a plurality of airplanes is obtained in real time, the state information is diagnosed, the maintenance tasks are obtained according to the diagnosis result, the maintenance time corresponding to the maintenance tasks is obtained according to a historical airplane maintenance task report, and the stay time of each airplane at a maintenance place are obtained according to the trip list of each airplane; the safety maintenance platform 13 determines the maintenance schedule of a plurality of airplanes according to the maintenance time length, the stay time length and the stay time, so that the landing time of the airplanes is minimized, and the interference of overlong maintenance time to the flight task of the airplanes is reduced.
Preferably, in any of the embodiments described above, the safety monitoring platform 11 is specifically configured to obtain aircraft operating state information, report information of a technician, and monitoring data of a safety monitoring department;
and correlating the state information, the report information and the data aiming at the same aircraft component in the monitoring data, analyzing the loss degree of the corresponding component according to the correlation result of each aircraft component, and determining the loss degree as potential fault information when the loss degree exceeds a preset value.
According to the scheme, the loss degree of the airplane and the potential fault information are analyzed through the airplane running state information, the report information of technicians and the monitoring data of a safety monitoring department, the failure mining experience information is compiled through collecting multi-party prediction information, the loss degree of the airplane and the potential fault are analyzed from the experience information, maintenance reference information is provided for maintenance personnel, the maintenance personnel can conveniently make maintenance tasks, and the troubleshooting efficiency of the maintenance personnel is improved.
Preferably, in any of the above embodiments, the safety maintenance platform 13 is further configured to, when the time delay of a first aircraft, schedule an aircraft of the same type of maintenance task waiting to replace the maintenance trip of the first aircraft, and perform maintenance task rearrangement on the first aircraft according to the time delay, where the first aircraft is any one of the plurality of aircraft.
According to the scheme, by monitoring the flight time of the airplane, the airplane in the maintenance schedule is delayed, the airplane of the same type of maintenance task in waiting is arranged to replace the maintenance schedule of the delayed airplane, and the maintenance task is rearranged on the delayed airplane, so that when the delay occurs, the maintenance schedule of the delayed airplane can be adjusted in time by a maintenance engineering management department, the labor cost caused by the delay is reduced, and the maintenance efficiency of the whole maintenance task is improved.
Preferably, in any of the above embodiments, further comprising: and the association module is used for associating the historical daily maintenance information, the historical abnormal maintenance information and the real-time state information of the airplane through a data mining algorithm to predict a potential abnormal maintenance task, and determining the maintenance time and the maintenance deadline time according to the content of the potential abnormal maintenance task.
According to the scheme, the relation between the daily maintenance task and the abnormal task is excavated through association and depth, potential abnormality is found in the daily maintenance task, abnormal maintenance time is arranged in advance, and high maintenance cost and maintenance time when the abnormality occurs are reduced.
Preferably, in any of the above embodiments, the aircraft maintenance task report includes: maintenance task type and maintenance duration.
Preferably, in any of the above embodiments, further comprising: and the abnormity maintenance module is used for sending a reservation task to the operation platform according to the potential abnormity maintenance task, reserving the airplane with the potential abnormity maintenance task for maintenance, and if the airplane does not execute the reservation task, continuously initiating warning prompt to the operation platform until the reservation task is completed.
According to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the airplane with the potential abnormal maintenance task is reserved for maintenance, warning reminding is carried out when the maintenance task is not completed, the potential abnormality of the airplane can be relieved as soon as possible, the problem that the airplane needs to be maintained at high cost when the airplane breaks down due to the fact that the potential abnormality is not maintained and eliminated in time is avoided, and meanwhile the travel delay of the airplane due to the failure is reduced.
It is understood that some or all of the alternative embodiments described above may be included in some embodiments.
It should be noted that the above embodiments are product embodiments corresponding to the previous method embodiments, and for the description of each optional implementation in the product embodiments, reference may be made to corresponding descriptions in the above method embodiments, and details are not described here again.
The reader should understand that in the description of this specification, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described method embodiments are merely illustrative, and for example, the division of steps into only one logical functional division may be implemented in practice in another way, for example, multiple steps may be combined or integrated into another step, or some features may be omitted, or not implemented.
The above method, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. A management method for cluster maintenance is characterized by comprising the following steps:
the safety monitoring platform acquires the state information of a plurality of airplanes in real time, diagnoses the state information and acquires maintenance tasks according to the diagnosis result;
the report form analysis server obtains maintenance duration corresponding to the maintenance task according to a historical airplane maintenance task report form;
the report form analysis server obtains the stay time and the stay time of each airplane at the maintenance place according to the travel schedule of each airplane;
and the safety maintenance platform determines the maintenance schedule of the plurality of airplanes according to the maintenance duration, the stay duration and the stay time.
2. The method according to claim 1, wherein the safety monitoring platform obtains status information of a plurality of airplanes in real time, and the diagnosing the status information specifically comprises:
acquiring airplane running state information, report information of technicians and monitoring data of a safety monitoring department;
and correlating the state information, the report information and the data aiming at the same aircraft component in the monitoring data, analyzing the loss degree of the corresponding component according to the correlation result of each aircraft component, and determining the loss degree as potential fault information when the loss degree exceeds a preset value.
3. A method for cluster maintenance management as claimed in claim 2, further comprising: when the time of a first airplane is delayed, replacing the maintenance travel of the first airplane with an airplane with the same type of maintenance task in waiting, and rearranging the maintenance task of the first airplane according to the delayed time, wherein the first airplane is any one of the plurality of airplanes.
4. A method for fleet maintenance management according to any one of claims 1 to 3, further comprising: and predicting a potential abnormal maintenance task by associating historical daily maintenance information, historical abnormal maintenance information and real-time state information of the airplane through a data mining algorithm, and determining maintenance time and maintenance deadline time according to the content of the potential abnormal maintenance task.
5. The method as claimed in claim 4, wherein the aircraft maintenance task report includes: maintenance task type and maintenance duration.
6. A fleet maintenance management system, comprising: the system comprises a safety monitoring platform, a report form analysis server and a safety maintenance platform;
the safety monitoring platform is used for acquiring state information of a plurality of airplanes in real time, diagnosing the state information and obtaining maintenance tasks according to diagnosis results;
the report form analysis server is used for obtaining maintenance duration corresponding to the maintenance task according to a historical airplane maintenance task report form; the system is also used for obtaining the stay time and the stay time of each airplane at the maintenance place according to the trip list of each airplane;
and the safety maintenance platform is used for determining maintenance travel lists of the plurality of airplanes according to the maintenance duration, the stopping duration and the stopping time.
7. The fleet management system according to claim 6, wherein said safety monitoring platform is specifically configured to obtain aircraft operation status information, technician report information, and monitoring data of a safety monitoring department;
and correlating the state information, the report information and the data aiming at the same aircraft component in the monitoring data, analyzing the loss degree of the corresponding component according to the correlation result of each aircraft component, and determining the loss degree as potential fault information when the loss degree exceeds a preset value.
8. A fleet management system according to claim 7, wherein said safety maintenance platform is further configured to replace a maintenance trip of a first aircraft with an aircraft of the same type of maintenance task on hold when a time of the first aircraft is delayed, and to reschedule the maintenance task for the first aircraft according to the delayed time, wherein the first aircraft is any one of said plurality of aircraft.
9. A fleet management system according to any one of claims 6 to 8, further comprising: and the association module is used for associating the historical daily maintenance information, the historical abnormal maintenance information and the real-time state information of the airplane through a data mining algorithm to predict a potential abnormal maintenance task, and determining the maintenance time and the maintenance deadline time according to the content of the potential abnormal maintenance task.
10. The fleet management system according to claim 9, wherein said aircraft maintenance task report comprises: maintenance task type and maintenance duration.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112491463A (en) * 2020-12-01 2021-03-12 中国商用飞机有限责任公司 Method for identifying aircraft flight segment based on ACARS message
CN112700019A (en) * 2020-12-30 2021-04-23 深圳中集天达空港设备有限公司 Preventive maintenance system, method, device, medium, and electronic device for boarding bridge
CN115249418A (en) * 2021-04-26 2022-10-28 通用电气航空系统有限公司 Method and system for updating a flight plan
CN116644967A (en) * 2023-07-25 2023-08-25 江西航空有限公司 Aircraft maintenance process risk management and control method and device based on photo watermarking technology
CN117572884A (en) * 2023-11-17 2024-02-20 南京禄口国际机场空港科技有限公司 Winding machine inspection method, winding machine inspection device, robot and medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080010107A1 (en) * 2006-07-10 2008-01-10 Small Gregory J Methods and systems for providing a global view of airline operations
CN101185065A (en) * 2005-06-30 2008-05-21 西门子公司 Method and tool for optimized system maintenance
CN101310253A (en) * 2005-11-16 2008-11-19 波音公司 Centralized management of maintenance and materials for commercial aircraft fleets
US20140121885A1 (en) * 2012-11-01 2014-05-01 Ge Aviation Systems Llc Maintenance system for aircraft fleet and method for planning maintenance

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101185065A (en) * 2005-06-30 2008-05-21 西门子公司 Method and tool for optimized system maintenance
CN101310253A (en) * 2005-11-16 2008-11-19 波音公司 Centralized management of maintenance and materials for commercial aircraft fleets
US20080010107A1 (en) * 2006-07-10 2008-01-10 Small Gregory J Methods and systems for providing a global view of airline operations
US20140121885A1 (en) * 2012-11-01 2014-05-01 Ge Aviation Systems Llc Maintenance system for aircraft fleet and method for planning maintenance
CN103810231A (en) * 2012-11-01 2014-05-21 通用电气航空系统有限责任公司 Maintenance system for aircraft fleet and method for planning maintenance

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112491463A (en) * 2020-12-01 2021-03-12 中国商用飞机有限责任公司 Method for identifying aircraft flight segment based on ACARS message
CN112700019A (en) * 2020-12-30 2021-04-23 深圳中集天达空港设备有限公司 Preventive maintenance system, method, device, medium, and electronic device for boarding bridge
CN112700019B (en) * 2020-12-30 2023-12-26 深圳中集天达空港设备有限公司 Preventive maintenance system, method and device for boarding bridge, medium and electronic equipment
CN115249418A (en) * 2021-04-26 2022-10-28 通用电气航空系统有限公司 Method and system for updating a flight plan
CN116644967A (en) * 2023-07-25 2023-08-25 江西航空有限公司 Aircraft maintenance process risk management and control method and device based on photo watermarking technology
CN116644967B (en) * 2023-07-25 2023-10-20 江西航空有限公司 Aircraft maintenance process risk management and control method and device based on photo watermarking technology
CN117572884A (en) * 2023-11-17 2024-02-20 南京禄口国际机场空港科技有限公司 Winding machine inspection method, winding machine inspection device, robot and medium

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