CN111832776B - Cluster maintenance management method and system - Google Patents
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- 238000007726 management method Methods 0.000 title abstract description 13
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- 238000007418 data mining Methods 0.000 claims description 7
- 230000000875 corresponding effect Effects 0.000 claims 4
- 230000002596 correlated effect Effects 0.000 claims 2
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- 238000005065 mining Methods 0.000 description 5
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- G06Q10/00—Administration; Management
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Abstract
The invention discloses a management method and a 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 aircrafts in real time, diagnoses the state information, and acquires maintenance tasks according to diagnosis results; the report analysis server obtains maintenance time length, maintenance residence time length and residence time of maintenance sites corresponding to maintenance tasks according to historical aircraft maintenance task reports and travel tables of a plurality of aircraft; and the safety maintenance platform determines maintenance schedule tables of a plurality of aircrafts according to the maintenance time length, the stay time length and the stay time. The problems that maintenance tasks are repeated or maintenance time is missed due to human errors, and the flight progress is disturbed or an airplane is cancelled due to overlong maintenance time are avoided, flight income is guaranteed, the landing time of the airplane is minimized, and the overlong maintenance time is reduced to disturb the flight tasks of the airplane.
Description
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 trying to minimize the costly delays and cancelling flights, and observing complex maintenance constraints.
In the maintenance process, an airline company usually performs routine maintenance or abnormal inspection and maintenance of the aircraft in the time when the aircraft drops to the ground, maintenance personnel are required to be added as the aircraft to be maintained at the landing time point increases, if the maintenance personnel cannot complete maintenance in a short time, the maintenance personnel are required to delay the flight time to compensate, the flight task of the flight is affected, and meanwhile, the repetition of the maintenance task or the missing of the maintenance time caused by human errors cannot be avoided, so that the flight progress is disturbed or the flight is cancelled due to overlong maintenance time, and the flight profit is lost; no reasonable coordination is formed between the flight mission and the maintenance mission of the fleet, which both loses flight revenue and results in overall fleet maintenance inefficiency.
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 method of managing cluster maintenance, comprising:
the safety monitoring platform acquires the state information of a plurality of aircrafts in real time, diagnoses the state information, and acquires maintenance tasks according to diagnosis results;
the report analysis server obtains maintenance time length corresponding to the maintenance task according to a historical aircraft maintenance task report;
the report analysis server obtains the stay time and the stay time of each aircraft in the maintenance area according to the travel table of each aircraft;
and the safety maintenance platform determines maintenance schedule of the plurality of aircrafts according to the maintenance time length, the stay time length and the stay time.
The beneficial effects of the invention are as follows: according to the scheme, the state information of a plurality of airplanes is acquired in real time, the state information is diagnosed, a maintenance task is acquired according to a diagnosis result, the maintenance time corresponding to the maintenance task is acquired according to a historical airplane maintenance task report, and the stay time of each airplane in a maintenance place are acquired according to a travel table of each airplane; the safety maintenance platform determines maintenance schedules of the plurality of aircrafts according to the maintenance duration, the stay duration and the stay time, and aircraft maintenance personnel can reasonably arrange to maintain each aircraft based on the determined maintenance schedules and the determined schedule. The problems that maintenance tasks are repeated or maintenance time is missed due to human errors, and the flight progress is disturbed or an airplane is cancelled due to overlong maintenance time are avoided, flight income is guaranteed, the landing time of the airplane is minimized, and the overlong maintenance time is reduced to disturb the flight tasks of the airplane.
Further, the method further comprises the following steps: and sending a reservation task to an operation platform according to the potential abnormal maintenance task, reserving an airplane with the potential abnormal maintenance task for maintenance, and continuously initiating a warning prompt to the operation platform until the reservation task is completed if the airplane does not execute the reservation task.
The beneficial effects of adopting the further scheme are as follows: according to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the aircraft with the potential abnormal maintenance task is reserved for maintenance, and warning reminding is carried out when the maintenance task is not completed, so that the aircraft can be helped to remove the potential abnormality as soon as possible, the problem that the aircraft is required to be maintained at high cost when the aircraft fails because the potential abnormality is not timely maintained and eliminated is avoided, and meanwhile, the travel delay caused by the fault of the aircraft is reduced.
The other technical scheme for solving the technical problems is as follows:
a management system for cluster maintenance, comprising: the system comprises a safety monitoring platform, a report analysis server and a safety maintenance platform;
the safety monitoring platform is used for acquiring state information of a plurality of aircrafts in real time, diagnosing the state information and acquiring maintenance tasks according to diagnosis results;
the report analysis server is used for obtaining maintenance time corresponding to the maintenance task according to a historical aircraft maintenance task report; the method is also used for obtaining the stay time and the stay time of each aircraft in the maintenance area according to the travel schedule of each aircraft;
the safety maintenance platform is used for determining maintenance schedule tables of the plurality of aircrafts according to the maintenance time length, the stay time length and the stay time.
According to the scheme, the state information of a plurality of airplanes is acquired in real time, the state information is diagnosed, a maintenance task is acquired according to a diagnosis result, the maintenance time corresponding to the maintenance task is acquired according to a historical airplane maintenance task report, and the stay time of each airplane in a maintenance place are acquired according to a travel table of each airplane; the safety maintenance platform determines maintenance schedules of the plurality of aircrafts according to the maintenance duration, the stay duration and the stay time, and aircraft maintenance personnel can reasonably arrange to maintain each aircraft based on the determined maintenance schedules and the determined schedule. The problems that maintenance tasks are repeated or maintenance time is missed due to human errors, and the flight progress is disturbed or an airplane is cancelled due to overlong maintenance time are avoided, flight income is guaranteed, the landing time of the airplane is minimized, and the overlong maintenance time is reduced to disturb the flight tasks of the airplane.
Further, the method further comprises the following steps: the abnormal maintenance module is used for sending a reservation task to an operation platform according to the potential abnormal maintenance task, reserving an airplane with the potential abnormal maintenance task for maintenance, and continuously initiating warning reminding to the operation platform until the reservation task is completed if the airplane does not execute the reservation task.
The beneficial effects of adopting the further scheme are as follows: according to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the aircraft with the potential abnormal maintenance task is reserved for maintenance, and warning reminding is carried out when the maintenance task is not completed, so that the aircraft can be helped to remove the potential abnormality as soon as possible, the problem that the aircraft is required to be maintained at high cost when the aircraft fails because the potential abnormality is not timely maintained and eliminated is avoided, and meanwhile, the travel delay caused by the fault of the aircraft is reduced.
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.
Drawings
Fig. 1 is a flow chart of a method for managing cluster maintenance according to an embodiment of the present invention;
FIG. 2 is a network architecture diagram for cluster maintenance management according to 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 the present invention are described below with reference to the drawings, the illustrated embodiments are provided for illustration only and are not intended to limit the scope of the present invention.
As shown in fig. 1, a method for managing cluster maintenance according to an embodiment of the present invention includes:
the safety monitoring platform acquires the state information of a plurality of aircrafts in real time, diagnoses the state information, and acquires maintenance tasks according to diagnosis results. Wherein the status information includes: aircraft operational status information, technician report information, and safety monitoring department monitoring data, the flight operational status information may include: automatically detecting and reporting status information of changes in the aircraft during a primary flight phase, the primary flight phase comprising: pushing out the gate, leaving the ground, landing and stopping the gate; the status information may include flight planning information, weather information, flight data, flight status monitoring information, and the like. The technician's reporting information may include: analysis data of fault tracking and fault troubleshooting; the monitoring data of the safety monitoring department can comprise engine real-time message information.
In one embodiment, acquiring aircraft running state 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 that potential fault information exists in the aircraft component when the loss degree exceeds a preset value.
The report information of the technician can be acquired through a tracking fault display module and a troubleshooting expert support system; the aircraft running state information can be obtained by an ACARS (Aircraft Communications Addressing and ReportingSystem, aircraft communication addressing and reporting system, a digital data link system for transmitting short messages or messages between an aircraft and a ground station by radio or satellite) message receiving workstation of an airline company; the monitoring data of the safety monitoring department can be obtained through an engine real-time message monitoring conversion system.
Transferring data from the troubleshooting database to the main database under the participation of an ATA engineer according to the aircraft running state information, the report information of the technician and the monitoring data of the safety monitoring department, carrying out exploration analysis and preprocessing on the data, further analyzing the data by constructing a data mining model, and analyzing potential faults according to the maintenance result data.
The aircraft loss degree and the potential fault mining information are analyzed through the aircraft running state information, the report information of technicians and the monitoring data of the safety monitoring department, the multiparty prediction information is collected to form the fault mining experience information, the aircraft loss degree and the potential fault are analyzed from the experience information, the maintenance reference information is provided for maintenance personnel, maintenance personnel can conveniently formulate maintenance tasks, and the troubleshooting efficiency of the maintenance personnel is improved.
The report analysis server obtains maintenance time corresponding to the maintenance task according to the historical aircraft maintenance task report; wherein, the aircraft maintenance task report includes: the maintenance task type and the maintenance duration;
the report analysis server obtains the stay time and the stay time of each aircraft in the maintenance area according to the travel table of each aircraft;
and the safety maintenance platform determines maintenance schedule tables of a plurality of aircrafts according to the maintenance time length, the stay time length and the stay time.
In a certain 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, maintenance time is determined according to the type of the maintenance task, the stay time and the stay time of an aircraft needing to be used as the maintenance task in 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, the time with the stay time being longer than the maintenance time is selected as the starting time of the maintenance task in the schedule of the aircraft, and if the aircraft causes travel variation due to external reasons, such as abnormal weather, personnel mobilization problems and the like, other times meeting the stay time being longer than the maintenance time are selected and adjusted to the starting time of the maintenance task.
In another embodiment, according to a historical aircraft maintenance task report, maintenance time corresponding to different types of maintenance tasks is obtained, when the maintenance task comprises a plurality of subtasks, the subtasks have an association relation, according to the total time of the maintenance task, the maintenance time of the independent subtasks is respectively obtained, the subtasks are marked according to the maintenance sequence, according to the maintenance time of the subtasks, the maintenance schedule of the aircraft to be maintained is sequentially arranged, wherein the residence time of the aircraft to be maintained is longer than the maintenance time of the subtasks, if the residence time is longer than the maintenance time of the subtasks, the next subtask of the subtasks is arranged in the residence time, and when all the subtasks are completed, the maintenance mark of the parent maintenance task can be completed. The maintenance schedule of the aircraft is shown in table 1:
in an embodiment, as shown in fig. 2, the security detection platform acquires the state information of the cluster, integrates and analyzes the state information, digs out the content to be maintained of the aircraft, and formulates a maintenance task of the cluster 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 schedule 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 acquired in real time, the state information is diagnosed, a maintenance task is acquired according to a diagnosis result, the maintenance time corresponding to the maintenance task is acquired according to a historical airplane maintenance task report, and the stay time of each airplane in a maintenance place are acquired according to a travel table of each airplane; the safety maintenance platform determines maintenance schedule tables of a plurality of airplanes according to maintenance duration, stay duration and stay time, so that the landing time of the airplanes is minimized, and the overlong maintenance time is reduced to interfere with flight tasks of the airplanes.
Preferably, in any of the above embodiments, the method further includes: when the time of the first aircraft is delayed, the aircraft with the same type of maintenance tasks arranged on standby replace the maintenance travel of the first aircraft, and the maintenance tasks of the first aircraft are rearranged according to the delayed time, wherein the first aircraft is any one aircraft of the plurality of aircraft.
According to the scheme, the flight time of the aircraft is monitored, the aircraft in the maintenance schedule is delayed, the aircraft with the same type of maintenance tasks in waiting is arranged to replace the maintenance schedule of the delayed aircraft, and the maintenance tasks are rearranged for the delayed aircraft, so that when the delay occurs, a maintenance engineering management department can timely adjust the maintenance schedule of the delayed aircraft, 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, the method further includes: and (3) predicting potential abnormal maintenance tasks by associating historical daily maintenance information, historical abnormal maintenance information and real-time state information of the aircraft through a data mining algorithm, and determining maintenance time and maintenance deadline time according to the content of the potential abnormal maintenance tasks.
It should be noted that, the data mining algorithm may search out the 1 item set of the daily maintenance task and the corresponding support degree based on the association rule Apriori algorithm, pruning to remove the 1 item set lower than the support degree, and obtain the frequent 1 item set. And then connecting the rest frequent 1 item sets to obtain frequent 2 item sets of abnormal maintenance information, screening and removing the candidate frequent 2 item sets of abnormal maintenance information lower than the support degree to obtain a real frequent 2 item set, and the like, iterating until a frequent k+1 item set cannot be found, wherein the corresponding frequent k item set is the potential abnormal information result of the output of the algorithm. The daily maintenance task associated potential abnormal information can be realized through other mining algorithms.
According to the scheme, the relation between the daily maintenance task and the abnormal task is related and deeply excavated, potential abnormality is found in the daily maintenance task, the abnormal maintenance time is arranged in advance, and the high maintenance cost and the high 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, the method further includes: and sending a reservation task to the operation platform according to the potential abnormal maintenance task, reserving the aircraft with the potential abnormal maintenance task for maintenance, and continuously initiating warning reminding to the operation platform until the reservation task is completed if the aircraft does not execute the reservation task.
According to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the aircraft with the potential abnormal maintenance task is reserved for maintenance, and warning reminding is carried out when the maintenance task is not completed, so that the aircraft can be helped to remove the potential abnormality as soon as possible, the problem that the aircraft is required to be maintained at high cost when the aircraft breaks down due to the fact that the potential abnormality is not timely maintained and eliminated is avoided, and meanwhile, travel delay caused by the fault of the aircraft is reduced.
In one embodiment, as shown in fig. 3, a cluster maintenance management system includes: the system comprises a safety monitoring platform 11, a report analysis server 12 and a safety maintenance platform 13;
the safety monitoring platform 11 is used for acquiring state information of a plurality of aircrafts in real time, diagnosing the state information and acquiring maintenance tasks according to diagnosis results;
the report analysis server 12 is configured to obtain a maintenance duration corresponding to a maintenance task according to a historical aircraft maintenance task report; the method is also used for obtaining the stay time and the stay time of each aircraft in the maintenance area according to the travel schedule of each aircraft;
the safety maintenance platform 13 is used for determining maintenance schedules of a plurality of aircrafts according to maintenance duration, residence time and residence time.
According to the scheme, the state information of a plurality of airplanes is acquired in real time, the state information is diagnosed, a maintenance task is acquired according to a diagnosis result, the maintenance time corresponding to the maintenance task is acquired according to a historical airplane maintenance task report, and the stay time of each airplane in a maintenance place are acquired according to a travel table of each airplane; the safety maintenance platform 13 determines maintenance schedule tables of a plurality of airplanes according to maintenance duration, residence duration and residence time, so that the landing time of the airplanes is minimized, and the overlong maintenance time is reduced to interfere with the flight tasks of the airplanes.
Preferably, in any of the above embodiments, the safety monitoring platform 11 is specifically configured to obtain information about the running state of the aircraft, report information about technicians, and monitoring data of the 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 taking the loss degree as potential fault information when the loss degree exceeds a preset value.
According to the scheme, the aircraft loss degree and the potential fault mining information are analyzed through the aircraft running state information, the report information of technicians and the monitoring data of the safety monitoring department, the multiparty prediction information is collected to form the fault mining experience information, the aircraft loss degree and the potential fault are analyzed from the experience information, the maintenance reference information is provided for maintenance personnel, maintenance tasks are conveniently formulated by the maintenance personnel, 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 replace a maintenance trip of a first aircraft with an aircraft with a maintenance task of the same type arranged on standby when a time of the first aircraft is delayed, and to rearrange the maintenance task of the first aircraft according to the delayed time, wherein the first aircraft is any one of the plurality of aircraft.
According to the scheme, the flight time of the aircraft is monitored, the aircraft in the maintenance schedule is delayed, the aircraft with the same type of maintenance tasks in waiting is arranged to replace the maintenance schedule of the delayed aircraft, and the maintenance tasks are rearranged for the delayed aircraft, so that when the delay occurs, a maintenance engineering management department can timely adjust the maintenance schedule of the delayed aircraft, 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, the method further includes: the association module is used for associating historical daily maintenance information, historical abnormal maintenance information and real-time state information of the aircraft through a data mining algorithm to predict potential abnormal maintenance tasks, and determining maintenance time and maintenance deadline time according to the content of the potential abnormal maintenance tasks.
According to the scheme, the relation between the daily maintenance task and the abnormal task is related and deeply excavated, potential abnormality is found in the daily maintenance task, the abnormal maintenance time is arranged in advance, and the high maintenance cost and the high 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, the method further includes: the abnormal maintenance module is used for sending a reservation task to the operation platform according to the potential abnormal maintenance task, reserving the aircraft with the potential abnormal maintenance task for maintenance, and continuously sending a warning prompt to the operation platform until the reservation task is completed if the aircraft does not execute the reservation task.
According to the scheme, the reservation task is sent to the operation platform according to the potential abnormal maintenance task, the aircraft with the potential abnormal maintenance task is reserved for maintenance, and warning reminding is carried out when the maintenance task is not completed, so that the aircraft can be helped to remove the potential abnormality as soon as possible, the problem that the aircraft is required to be maintained at high cost when the aircraft breaks down due to the fact that the potential abnormality is not timely maintained and eliminated is avoided, and meanwhile, travel delay caused by the fault of the aircraft is reduced.
It is to be understood that in some embodiments, some or all of the alternatives described in the various embodiments above may be included.
It should be noted that, the foregoing embodiments are product embodiments corresponding to the previous method embodiments, and the description of each optional implementation manner in the product embodiments may refer to the corresponding description in the foregoing method embodiments, which is not repeated herein.
The reader will appreciate that in the description of this specification, a description of the terms "one embodiment," "some embodiments," "examples," "specific examples," 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, schematic representations of the above terms are not necessarily directed 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, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the method embodiments described above are merely illustrative, e.g., the division of steps is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple steps may be combined or integrated into another step, or some features may be omitted or not performed.
The above-described method, if implemented in the form of a software functional unit 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 is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (4)
1. A method for managing cluster maintenance, comprising:
the safety monitoring platform acquires the state information of a plurality of aircrafts in real time, diagnoses the state information, and acquires maintenance tasks according to diagnosis results;
the report analysis server obtains maintenance time length corresponding to the maintenance task according to a historical aircraft maintenance task report;
the report analysis server obtains the stay time and the stay time of each aircraft in the maintenance area according to the travel table of each aircraft;
the safety maintenance platform determines maintenance schedule of the plurality of aircrafts according to the maintenance time length, the stay time length and the stay time;
the safety monitoring platform acquires the state information of a plurality of airplanes in real time, and the diagnosis of the state information specifically comprises the following steps:
acquiring aircraft running state information, report information of technicians and monitoring data of a safety monitoring department;
the state information, the report information and the monitoring data are correlated with data aiming at the same aircraft component, the loss degree of the corresponding component is analyzed according to the correlation result of each aircraft component, and potential fault information is obtained when the loss degree exceeds a preset value;
further comprises: the method comprises the steps that historical daily maintenance information, historical abnormal maintenance information and real-time state information of an airplane are associated through a data mining algorithm, a potential abnormal maintenance task is predicted, and maintenance time and maintenance deadline time are determined according to the content of the potential abnormal maintenance task;
further comprises: according to the potential abnormal maintenance tasks, a reservation task is sent to an operation platform, an airplane with the potential abnormal maintenance tasks is reserved for maintenance, and if the airplane does not execute the reservation task, warning reminding is continuously sent to the operation platform until the reservation task is completed;
further comprises: when the time of the first aircraft is delayed, the aircraft with the same type of maintenance tasks arranged on standby replace the maintenance travel of the first aircraft, and the maintenance tasks of the first aircraft are rearranged according to the delayed time, wherein the first aircraft is any one aircraft of the plurality of aircraft.
2. The method for managing fleet maintenance according to claim 1, wherein the aircraft maintenance task report comprises: maintenance task type and maintenance duration.
3. A cluster maintenance management system, comprising: the system comprises a safety monitoring platform, a report analysis server and a safety maintenance platform;
the safety monitoring platform is used for acquiring state information of a plurality of aircrafts in real time, diagnosing the state information and acquiring maintenance tasks according to diagnosis results;
the report analysis server is used for obtaining maintenance time corresponding to the maintenance task according to a historical aircraft maintenance task report; the method is also used for obtaining the stay time and the stay time of each aircraft in the maintenance area according to the travel schedule of each aircraft;
the safety maintenance platform is used for determining maintenance schedule of the plurality of aircrafts according to the maintenance time length, the stay time length and the stay time;
the safety monitoring platform is specifically used for acquiring the running state information of the aircraft, the report information of technicians and the monitoring data of a safety monitoring department;
the state information, the report information and the monitoring data are correlated with data aiming at the same aircraft component, the loss degree of the corresponding component is analyzed according to the correlation result of each aircraft component, and potential fault information is obtained when the loss degree exceeds a preset value;
the system comprises a data mining algorithm, a correlation module, a data processing module and a control module, wherein the data mining algorithm is used for correlating historical daily maintenance information, historical abnormal maintenance information and real-time state information of an airplane to predict a potential abnormal maintenance task, and determining maintenance time and maintenance deadline time according to the content of the potential abnormal maintenance task;
further comprises: the abnormal maintenance module is used for sending a reservation task to the operation platform according to the potential abnormal maintenance task, reserving the aircraft with the potential abnormal maintenance task for maintenance, and continuously sending a warning prompt to the operation platform until the reservation task is completed if the aircraft does not execute the reservation task;
the safety maintenance platform is further used for replacing the maintenance travel of the first aircraft by the aircraft with the same type of maintenance tasks arranged on standby when the time of the first aircraft is delayed, and rearranging the maintenance tasks of the first aircraft according to the delayed time, wherein the first aircraft is any one of the plurality of aircraft.
4. A fleet maintenance management system as set forth in claim 3, wherein said aircraft maintenance task report comprises: maintenance task type and maintenance duration.
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| CN112491463B (en) * | 2020-12-01 | 2022-02-25 | 中国商用飞机有限责任公司 | Method for identifying aircraft flight segment based on ACARS message |
| 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 |
| EP4083963A1 (en) * | 2021-04-26 | 2022-11-02 | GE Aviation Systems Limited | Method and system for updating a flight plan |
| 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 |
Citations (3)
| 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 |
| 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 |
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Patent Citations (3)
| 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 |
| 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 |
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