CN112700019B - Preventive maintenance system, method and device for boarding bridge, medium and electronic equipment - Google Patents
Preventive maintenance system, method and device for boarding bridge, medium and electronic equipment Download PDFInfo
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Abstract
The embodiment of the disclosure provides a preventive maintenance system, a preventive maintenance method, a preventive maintenance device, a preventive maintenance medium and electronic equipment for a boarding bridge, wherein the preventive maintenance method comprises the following steps: acquiring each threshold group in a threshold library of the abnormality judgment standard; acquiring current operation data of parts of the boarding bridge; judging the predictive maintenance state of the part according to the current operation data and the threshold groups of the threshold library of the abnormality judgment standard to obtain a judgment result; and generating maintenance task data according to the judging result. According to the technical scheme, preventive maintenance of the boarding bridge can be realized, and reliability of boarding bridge equipment is improved.
Description
Technical Field
The disclosure relates to the technical field of equipment overhaul, in particular to a preventive maintenance system, a preventive maintenance method, a preventive maintenance device, a preventive maintenance computer readable storage medium and electronic equipment of a boarding bridge.
Background
The boarding bridge, also called an empty bridge or an aircraft corridor bridge, is a facility in an airport terminal building, and extends from a terminal building or a corridor of an airport to a cabin door of an aircraft, so that passengers can conveniently enter and exit the cabin. Under the poor weather condition, the boarding bridge can enable passengers to conveniently board and leave without sun and rain, and meanwhile, the airport operation efficiency can be improved.
As the requirements for automated informatization of airports increase, the reliability of boarding bridges is becoming more and more important. In the normal operation of an airport, in order to avoid delaying the time of the boarding bridge to abut against the airplane, the reliability index of boarding bridge equipment is required to reach more than 99.99 percent. However, at present, the boarding bridge is only manually inspected and maintained periodically, and the requirement of reliability is difficult to achieve.
How to arrange the maintenance time of the boarding bridge and ensure the reliability of the boarding bridge is a technical problem which needs to be solved currently.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
It is an object of embodiments of the present disclosure to provide a preventive maintenance system, method, apparatus, computer-readable storage medium and electronic device for a boarding bridge, thereby improving the reliability of the boarding bridge at least to some extent.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
According to a first aspect of embodiments of the present disclosure, there is provided a preventive maintenance system for a boarding bridge, the preventive maintenance system comprising: the preventive maintenance database comprises historical maintenance data, historical signal change data and flight data of parts of the boarding bridge, and model data and flight data of the boarding bridge service aircraft; the maintenance knowledge base comprises maintenance knowledge and maintenance knowledge of the parts; the threshold value library of the abnormality judgment standard comprises a first threshold value group of signal change of the normal running state of the part, a second threshold value group of reference replacement time of the part and a third threshold value group of the position of the part, which is close to the cabin door of the aircraft, and each threshold value group of the threshold value library of the abnormality judgment standard is obtained according to the data in the preventive maintenance database and the maintenance knowledge base; the abnormal judgment module is used for judging the predictive maintenance state of the part according to the current operation data and each threshold value group of the threshold value library of the abnormal judgment standard after the current operation data of the part of the boarding bridge is obtained by a user, and a judgment result is obtained, wherein the current operation data comprises signal change data, using time and times and the position of the boarding bridge, which is abutted against an airplane cabin door; and the maintenance task generating module is used for generating maintenance tasks according to the judging result.
According to a second aspect of the embodiments of the present disclosure, there is provided a preventive maintenance method of a boarding bridge, the preventive maintenance method including: acquiring each threshold value group in a threshold value library of an abnormality judgment standard, wherein each threshold value group comprises a first threshold value group of signal change of a normal running state of a part of a boarding bridge, a second threshold value group of reference replacement time of the part and a third threshold value group of a position of the part, which is abutted against an airplane cabin door of the boarding bridge; acquiring current operation data of parts of the boarding bridge, wherein the current operation data comprises signal change data, reference replacement time and a position of an airplane cabin door abutting against the boarding bridge; judging the predictive maintenance state of the part according to the current operation data and the threshold groups of the threshold library of the abnormality judgment standard to obtain a judgment result; and generating maintenance task data according to the judging result.
In some embodiments, said determining the predictive maintenance status of the component based on the respective threshold sets of the threshold library of the current operational data and the anomaly determination criteria comprises: judging whether signal change data of parts of the boarding bridge are in a corresponding threshold range of the first threshold group or not, wherein the signal change data comprise action times and action accumulation time of each signal point; judging whether the use time and the use times of the parts are within the corresponding threshold range of the second threshold group or not; judging whether the position of the boarding bridge, which is abutted against the aircraft, is within the corresponding threshold range of the third threshold group; and judging whether the boarding bridge is deviated from the pickup position after finishing the boarding bridge.
In some embodiments, after the determination, the preventive maintenance method further includes: recording the judging result to an abnormal part list; generating a maintenance task according to the judging result, wherein the maintenance task comprises; and generating a maintenance plan according to the abnormal part list.
In some embodiments, each threshold group in the threshold library of the abnormality determination criteria is obtained according to data and knowledge in a preventative maintenance database and a maintenance knowledge base, wherein the preventative maintenance database comprises historical maintenance data of parts of the boarding bridge, historical signal change data, model data of the boarding bridge service aircraft and flight data; the maintenance knowledge base comprises maintenance knowledge and maintenance knowledge of the parts.
In some embodiments, after generating the maintenance task data according to the determination result, the preventive maintenance method further includes: querying the service knowledge base for use and maintenance knowledge of the components of the boarding bridge.
In some embodiments, repair task data resulting from performing the repair task is recorded to the preventative repair database.
According to a third aspect of embodiments of the present disclosure, there is provided a preventive maintenance apparatus for a boarding bridge, the preventive maintenance apparatus including: the threshold value group acquisition unit is used for acquiring each threshold value group in the threshold value library of the abnormality judgment standard, wherein each threshold value group comprises a first threshold value group of signal change of the normal running state of the part, a second threshold value group of reference replacement time of the part and a third threshold value group of the position of the part, which is abutted against an airplane cabin door of a boarding bridge; the current data acquisition unit is used for acquiring current operation data of parts of the boarding bridge, wherein the current operation data comprises signal change data, using time and times and the position of the boarding bridge, which is abutted against an airplane cabin door; the judging unit is used for judging the predictive maintenance state of the part according to the current operation data and the threshold groups of the threshold library of the abnormal judgment standard to obtain a judging result; and the generating unit is used for generating maintenance task data according to the judging result.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, implements a method for preventive maintenance of a boarding bridge as described in the second aspect of the embodiments described above.
According to a fifth aspect of embodiments of the present disclosure, there is provided an electronic device, comprising: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement a method of preventive maintenance of a boarding bridge as described in the second aspect of the embodiments described above.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
in the technical schemes provided by some embodiments of the present disclosure, the predictive maintenance state of a part of a boarding bridge is determined according to the current operation data of the part and each threshold value group in the threshold value library of the abnormality determination standard, so that abnormal conditions of the boarding bridge equipment can be detected, preventive maintenance is performed in advance, and the probability of failure in avoiding execution of tasks by the boarding bridge is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort. In the drawings:
Fig. 1 schematically illustrates a structural schematic view of a preventive maintenance system of a boarding bridge according to one embodiment of the present disclosure;
fig. 2 schematically illustrates a flow chart of a method of preventive maintenance of a boarding bridge according to one embodiment of the present disclosure;
fig. 3 schematically shows a flow chart of a method of preventive maintenance of a boarding bridge according to another embodiment of the present disclosure;
fig. 4 schematically shows a block diagram of a preventive maintenance device of a boarding bridge according to one embodiment of the present disclosure;
fig. 5 schematically illustrates a block diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the disclosed aspects may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
In the related art, the boarding bridge is periodically inspected, maintained and maintained manually, and due to the limitation of manual operation, it is difficult to ensure that the boarding bridge has a high reliability index.
To overcome this problem, embodiments of the present invention provide a preventative maintenance system for a boarding bridge.
In an embodiment of the invention, the preventive maintenance system comprises: the preventive maintenance database comprises historical maintenance data, historical signal change data and flight data of parts of the boarding bridge, and model data and flight data of the boarding bridge service aircraft; the maintenance knowledge base comprises maintenance knowledge and maintenance knowledge of the parts; the threshold value library of the abnormality judgment standard comprises a first threshold value group of signal change of the normal running state of the part, a second threshold value group of reference replacement time of the part and a third threshold value group of the position of the part, which is close to the cabin door of the aircraft, and each threshold value group of the threshold value library of the abnormality judgment standard is obtained according to the data in the preventive maintenance database and the maintenance knowledge base; the abnormal judgment module is used for judging the predictive maintenance state of the part according to the current operation data and each threshold value group of the threshold value library of the abnormal judgment standard after the current operation data of the part of the boarding bridge is obtained by a user, and a judgment result is obtained, wherein the current operation data comprises signal change data, using time and times and the position of the boarding bridge, which is abutted against an airplane cabin door; and the maintenance task generating module is used for generating maintenance tasks according to the judging result.
According to the technical scheme, the current operation data of the parts of the boarding bridge are compared with each threshold value group in the threshold value library of the abnormality judgment standard, so that the predictive maintenance prediction result of the parts is obtained. Because each threshold value group of the threshold value library of the abnormal judgment standard is obtained by data in the preventive maintenance database and the maintenance knowledge base, the technical scheme of the embodiment of the invention realizes the prediction of possible fault time of the parts according to the historical data of the parts and the maintenance knowledge, prompts preventive maintenance, reduces the unavailable probability of finding the fault of the boarding bridge after the airplane berth is completed, and can improve the reliability of equipment and the management level of an airport.
According to the technical scheme, abnormal conditions of the boarding bridge equipment are automatically detected by means of intelligent data analysis, preventive maintenance is performed in advance, and the probability of failure in avoiding the boarding bridge to carry out tasks is improved.
The system architecture of the preventive maintenance system (Preventive Maintenance System, abbreviated as PMS) of the boarding bridge provided by the embodiment of the invention is shown in fig. 1.
The server of the boarding bridge and the charging management system (Boarding Bridge Management System, BBMS) of the bridge-mounted equipment collects all switching value and analog quantity change data of each part of the boarding bridge from the boarding bridge, and collects the whole integrated flight plan and real-time dynamic data from the flight information integration system. These flight planning and real-time dynamic systems include the contents of flight number, planned departure time, actual landing time, actual departure time, aircraft registration number, aircraft model number, etc. The server obtains the original records of equipment use and operation from a data acquisition and cache controller installed on the boarding bridge, performs combination processing, and then matches the information such as the flight number obtained from the integrated flight information system to obtain the data such as airplane types corresponding to the boarding bridge and the bridge-mounted equipment access service. These historical archival data are transferred to the preventative maintenance database every night.
The data of the database in the PMS server will be kept for a long time for analyzing and predicting the abnormal state of the system, providing preventive maintenance service and automatically generating preventive maintenance report. The preventive maintenance database in the PMS server here includes an equipment status or alarm record history database, a maintenance knowledge database, an abnormality judgment threshold setting database, and the like. The preventive maintenance report is pushed to the PMS management terminal and the PMS handheld terminal for the PMS manager and the user to review.
The data stored in the equipment state or alarm record history database comprises historical data of all switching values and analog quantity change of the boarding bridge, records of maintenance and replacement of parts and flight plan data. Specifically, when the flight schedule data is acquired and stored in the database, the model number of the service aircraft may be matched and recorded in the preventive maintenance database according to the time when the boarding bridge abuts on the aircraft and withdraws from the aircraft and the flight schedule provided by the airport.
When the equipment state or alarm record history database is established, the BBMS server monitors the information points of each switching value of the boarding bridge, wherein the information points comprise input points, output points and alarm information, and state change records of the switching values are generated according to the change conditions of the information points of the switching values, and the recorded contents comprise serial numbers, information point numbers, time and the state of the switching value corresponding to the time. Here, the time is required to record year, month, day, time, minute, second, millisecond, and the state of the switching amount includes on or off.
The BBMS server also monitors each analog quantity information point of the boarding bridge, wherein the information points comprise the length of the boarding bridge, the angle of a turntable, the angle of an airplane receiving opening, the angle of a wheel frame and the height of a bridge head, and generates a value change record of analog quantity according to the change condition of the information points of the analog quantity, and the recorded content comprises serial numbers, the number of the information points, time and the value of the analog quantity corresponding to the time.
Information such as the berthing position, the machine type, the landing time, the take-off time, the gear-up time and the like of the flight dynamic data is obtained from the airport information integration system, and the time when the boarding bridge abuts against the airplane and the time when the boarding bridge withdraws from the airplane are judged according to the switching value of parts of the boarding bridge and the change condition of analog quantity during the use period of the boarding bridge, so that a boarding record is generated.
According to the connection records and the flight dynamic data, the matching machine type can be recorded for each connection. The boarding bridge has one boarding period including all the switching values and analog values of the links of starting up, boarding, automatic leveling, bridge removing, shutting down, etc. and the relevant data record is written into the equipment state or alarm record history database of the airplane model to be served.
The contents of the maintenance database of the boarding bridge comprise the service life of parts, the upper limit of the service times, the specifications of spare parts, the quantity and the price of the spare parts, and data such as periodical checking knowledge, periodical maintenance knowledge, periodical lubrication knowledge, diagnosis and maintenance knowledge and the like.
The boarding bridge maintenance database also comprises key information of the boarding bridge and parts thereof, knowledge of maintenance, drawings, manuals, spare part information and the like, and can realize automatic association and reference when required by users.
When a boarding bridge maintenance knowledge database is established, a boarding bridge list needs to be established. The boarding bridge list is recorded with the data of the boarding bridge number, the delivery date, the starting date, the bridge type, the controller type and the like, and the overall profile of the boarding bridge, and an authorized user can click the record to be maintained on the query list interface, and add, delete, change and search related records one by one.
The maintenance knowledge database contains the functions of the boarding bridge, such as the number of the functional site, the name of the part, the description of the function, the management type, the performance requirement, the unqualified detection standard, the latest replacement time, the cumulative number of replacements, the cumulative number of uses, the cumulative time of uses, whether maintenance is needed, whether equipment inspection is needed, whether equipment lubrication is needed, the maintenance strategy, spare part coding and the like. Based on the maintenance knowledge database maintenance library, authorized users can click the records to be maintained on the query list interface, and add, delete, change and check related records one by one. The operator can choose to review the knowledge related to maintenance, inspection, lubrication, repair, etc. on the PC terminal or handheld terminal interface.
When a maintenance knowledge database maintenance library of the boarding bridge is established, a part inspection knowledge list is also required to be established, and the part inspection knowledge list comprises: item number, functional site name, part name, inspection item, inspection type, inspection method and tool, status of inspection operation or stop, inspection cycle, responsible person, and the like. The authorized user can click the record to be maintained on the query list interface, and add, delete, change and search related records one by one. During the process of checking the equipment by the user, all checking knowledge can be displayed on the PC terminal or the hand-held terminal interface of the operation user in a list mode.
When the boarding bridge maintenance knowledge database is established for maintenance, a part maintenance knowledge list is also required to be established. The part maintenance knowledge list includes entry numbers, function part names, maintenance items, maintenance types, maintenance methods, maintenance standard maintenance, status of inspection operation or stop, maintenance cycle, responsible persons, and the like. The authorized user can click the record to be maintained on the query list interface, and add, delete, change and search related records one by one. In the process of maintaining the equipment by the user, all maintenance knowledge can be displayed on a PC terminal or a handheld terminal interface of the operation user in a list mode.
The maintenance knowledge database is used for maintenance and maintenance, and a part lubrication knowledge list is required to be established. The part lubrication knowledge list comprises item numbers, function part names, lubrication modes, lubrication materials and numbers, single lubrication points, oil filling quantity, oil filling period, oil changing quantity, oil changing standard responsibility people and the like. The authorized user can click the record to be maintained on the query list interface, and add, delete, change and search related records one by one. During the maintenance of the device by the user, all lubrication knowledge can be displayed on the PC terminal or hand-held terminal interface of the operating user in a list.
The maintenance knowledge database is used for maintenance and maintenance, and a part maintenance knowledge list is also required to be established. The part maintenance knowledge list comprises item numbers, function part names, fault phenomena, fault cause analysis, preventive measures, maintenance methods, maintenance function units, responsible persons and the like. The authorized user can click the record to be maintained on the query list interface, and add, delete, change and search related records one by one. When the maintenance task is sent to the maintenance personnel, the maintenance personnel can see the maintenance knowledge related to the corresponding maintenance task from the interface of the PC terminal or the handheld terminal, so as to guide the maintenance personnel to quickly remove the fault in time,
Maintenance knowledge database maintenance, maintenance unit knowledge or file list needs to be established. The repair unit knowledge or file list includes: the maintenance unit number, the maintenance operation name, the maintenance manual file name and the access path, the operation manual file name and the access path, the maintenance tool, the maintenance operation man-hour rating, the safety and fireproof requirement file name and the access path, the maintenance operation program file name and the access path, the electric drawing data PDF file name and the access path, the mechanical drawing data PDF file name and the access path, the hydraulic drawing data PDF file name and the access path, the technical standard, the forbidden and notice, the operation content and the acceptance requirement, and the like. The authorized user can click the record to be maintained on the query list interface, and add, delete, change and search related records one by one. When the maintenance task is sent to the maintenance personnel, the maintenance personnel can see the corresponding maintenance task related knowledge and file from the PC terminal or the handheld terminal interface.
The maintenance knowledge database is used for maintenance, and a spare part list is also required to be established, wherein the spare part list comprises the contents of spare part codes, part names, service lives, upper limits of action times, spare part specifications, spare part manufacturers, spare part units, spare part unit price, single-machine usage of the spare parts, total usage of the spare parts and the like. The maintenance personnel can see the corresponding spare part information related to the maintenance task from the PC terminal or the handheld terminal interface.
In the embodiment of the invention, each threshold value group in the threshold value library of the abnormality judgment standard is obtained according to data and knowledge in a preventive maintenance database and a maintenance knowledge base, wherein the preventive maintenance database comprises historical maintenance data and historical signal change data of parts of the boarding bridge, and model data and flight data of a boarding bridge service aircraft; the maintenance knowledge base comprises maintenance knowledge and maintenance knowledge of the parts.
When a threshold library of the abnormality judgment standard is established, a part replacement period learning template can be established, and the replacement periods of different parts can be learned; and establishing a normal state learning template of the part, and learning a normal state judgment standard of equipment.
Specifically, when a threshold library of abnormal judgment standards is established, the action condition of each input/output signal point in each power-on period is statistically analyzed, and the reference value of the normal state and the threshold range of abnormal judgment are obtained. Inquiring each machine connection period, counting the running times and the accumulated running time of the parts, namely the action times and the action accumulated time of the signal points, and calculating the average value of the running times and the accumulated running time of the parts in different machine connection periods.
After the average value of the running times and the accumulated running time of the parts is obtained, an initial threshold value is set, samples, which deviate from the average value and exceed the threshold value range, are filtered, and the steps of setting the threshold value and filtering samples, which deviate from the average value greatly, are repeated until no samples, which deviate from the average value and exceed the threshold value range, are obtained. At this time, the final average value is taken as a reference value for the normal state.
And (3) initially taking a sample which deviates from a reference value of 50% in a normal state as a threshold value for abnormality judgment, and gradually learning and refining through maintenance result feedback. Here, the combination of the number of actions of the signal point and the threshold value of the abnormality determination of the action accumulation time is the first threshold value group in the threshold value library of the abnormality determination criterion. When the threshold library of the abnormality judgment standard is established, reference values are set for the service life and the upper use frequency limit of the equipment parts according to the product specification of the manufacturer.
Further, when establishing the threshold library of anomaly determination criteria, appropriate reference replacement times may be inferred and suggested based on the post-hoc repair records.
Specifically, when the reference replacement time is set, the history of years of maintenance and the replacement interval time of the parts need to be queried, and the average value of the replacement interval time is calculated.
After the average value of the replacement interval time is obtained, an initial threshold value is set, samples, which deviate from the average value by exceeding the threshold value range, are filtered, and the steps of setting the threshold value and filtering samples, which deviate from the average value by a large amount, are repeated until no more samples, which deviate from the average value by exceeding the threshold value range, exist. At this time, the final average value is taken as a reference value for the normal replacement time. The combination of the thresholds of the reference values of the conventional replacement time is the second threshold group in the threshold library of the abnormality judgment standard.
When the threshold value library of the abnormal judgment standard is established, the threshold value range of the normal position where the boarding bridge stops when being abutted is also required to be established. The references to the aircraft's berthing position at the same aircraft position are determined, the aircraft berthing allowing for limited deviation. The position of the boarding bridge against the door of the aircraft is also of equal certainty. In addition, the bridge landing position of the boarding bridge is also determined, the boarding bridge is abutted against the same gate for each model which can stop at the gate, under the condition that no error exists in airplane stop, after the boarding bridge is checked according to the check-in standard, the values of the dimensions such as the length, the check-in angle, the turntable angle, the check-in height and the like of the boarding bridge are used as the threshold value range of the coordinate template of the check-in position, and the preset values of the dimensions such as the length, the check-in angle, the turntable angle, the check-in height and the like of the boarding bridge of the bridge landing position are set as the threshold value range of the coordinate template of the dock. The combination of the threshold ranges of the coordinate positions of the boarding bridge is the threshold group in the threshold library of the abnormal judgment standard. Here, the obtained threshold value group is a third threshold value group.
The abnormality judgment module and the maintenance task module execute a method for automatically detecting preventive maintenance states and alarm information of parts of the boarding bridge and generating an abnormal part list.
Specifically, as shown in fig. 2, an embodiment of the present invention provides a method for preventive maintenance of a boarding bridge, where the method provided in the embodiment of the present disclosure may be performed by any electronic device having computer processing capability, such as a terminal device and/or a server. Referring to fig. 2, a method of providing a boarding bridge according to an embodiment of the present disclosure may include the steps of:
step S202, obtaining each threshold group in the threshold library of the abnormality judgment standard, where each threshold group includes a first threshold group of signal variation of the normal operation state of the component, a second threshold group of reference replacement time of the component, and a third threshold group of a position where the component and the boarding bridge abut against the aircraft door.
Step S204, current operation data of parts of the boarding bridge are obtained, wherein the current operation data comprise signal change data, reference replacement time and the position of the boarding bridge, which is abutted against an airplane cabin door.
And S206, judging the predictive maintenance state of the part according to the current operation data and the threshold groups of the threshold library of the abnormality judgment standard, and obtaining a judgment result.
And step S208, generating maintenance task data according to the judging result.
In step S206, it is required to determine whether signal variation data of the parts of the boarding bridge is within a corresponding threshold range of the first threshold group, where the signal variation data includes the action times and action accumulation time of each signal point; judging whether the use time and/or the use times of the parts are within the corresponding threshold range of the second threshold group; and judging whether the position of the boarding bridge, which is abutted against the airplane, is within the corresponding threshold range in the third threshold group, and judging whether the boarding bridge deviates from the airplane-taking position after the boarding bridge is finished.
After step S206, the determination result may be recorded to an abnormal part list.
Specifically, as shown in fig. 3, step S206 may be divided into the following steps:
in step S301, it is determined whether the number of actions and the action accumulation time of the signal point are within the corresponding threshold ranges of the first threshold group, where the corresponding threshold is a threshold for abnormality determination of the number of actions and the action accumulation time of the signal point. The threshold value of abnormality judgment of the number of actions of the signal point and the action accumulation time is the corresponding threshold value in the first threshold value group. If yes, step S302 is executed to determine that the device corresponding to the signal point is abnormal, and add the location number and the location name of the device to the detected abnormal component list. If not, step S303 is performed.
In step S303, it is determined whether the number of actions of the signal point is within the corresponding threshold range of the second threshold set, where the corresponding threshold is the upper limit of the number of actions or the upper limit of the service life. If yes, step S304 is executed to determine that the lifetime of the device corresponding to the signal point is expired, and the location number and the location name corresponding to the device need to be replaced, and the location number and the location name are added to the detected abnormal component list. Here, the threshold values of the upper limit of the number of operations and the upper limit of the service life of the component corresponding to the signal point are also stored in the threshold value library of the abnormality determination criterion. If not, step S305 is performed.
Step S305, determining whether the usage time and the number of times of the parts of the boarding bridge are within the corresponding threshold value range of the second threshold value group, where the corresponding threshold value is the reference replacement time. If yes, step S306 is executed to determine that the lifetime of the device corresponding to the component is expired, and the location number and the location name corresponding to the device need to be replaced, and the location number and the location name are added to the detected abnormal component list. If not, step S307 is performed.
Step S307, determining whether the distance between the boarding bridge and the abutment position after the abutment is completed is within the corresponding threshold range of the third threshold set, where the corresponding threshold is the distance threshold between the boarding bridge and the abutment position after the abutment is completed. If not, step S308 is executed to determine that one or more dimension position sensors such as length, angle of the machine interface, angle of the turntable, height of the machine interface, etc. are faulty, and the position number and the position name corresponding to the sensor are added to the detected abnormal part list. The abutment position is a position where the boarding bridge abuts against the aircraft when the boarding bridge is on the aircraft. If not, step S309 is performed.
Step S309, judging whether the distance between the boarding bridge and the boarding position is within the corresponding threshold range of the third threshold group, wherein the corresponding threshold is the distance threshold between the boarding bridge and the boarding position when the boarding bridge is boarding. If not, step S310 is executed to judge that one or more dimension position sensors such as the machine type error, the length, the machine interface angle, the turntable angle, the machine interface height and the like are failed, and the position number and the position name corresponding to the sensor are added into the detected abnormal part list. Here, the threshold value of the distance between the component of the boarding bridge and the boarding location is also stored in the threshold value library of the abnormality determination criterion. The boarding position is the position where the boarding bridge is parked after completing the boarding work. If not, the process is ended.
In step S208, a maintenance plan may be generated according to the abnormal parts list, that is, a maintenance item list may be automatically generated, and after step S208, a maintenance knowledge base may be automatically associated, and the use and maintenance knowledge of the parts of the boarding bridge may be queried from the maintenance knowledge base.
Specifically, after step S208, the system is automatically triggered to generate a report of inspection, maintenance and lubrication according to the time sequence for periodic inspection, maintenance and lubrication set by the system, and generates a prompt message in an alarm column of a human-computer interface of the system to remind relevant maintenance personnel to execute.
In step S208, a maintenance schedule is set for the components in the abnormal component list generated in step S206, and a maintenance task report is automatically generated. The maintenance task report is officially released after being approved by a maintenance manager and an upper manager.
After step S208, for each maintenance task in the maintenance task report, the maintenance worker is convenient to review the required knowledge such as inspection, maintenance, lubrication, maintenance and other related guide documents, drawings and the like. And the maintenance personnel feeds back the task completion condition on the report so as to automatically correct the system.
Based on a maintenance knowledge base, the embodiment of the invention provides a quick query method of related knowledge such as a guide file, a drawing, a manual, an acceptance standard and the like which are required by the inspection, maintenance, lubrication and maintenance of each part, so as to help maintenance personnel to quickly respond and quickly solve the problems.
After step S208, maintenance task data obtained by executing the maintenance task is recorded in the preventive maintenance database.
According to the preventive maintenance method for the boarding bridge, provided by the embodiment of the invention, the predictive maintenance state of the part is judged according to the current operation data of the part of the boarding bridge and each threshold value group in the threshold value library of the abnormality judgment standard, so that the abnormal condition of the boarding bridge equipment can be detected, preventive maintenance is performed in advance, and the probability of failure in the process of avoiding the execution of tasks by the boarding bridge is improved.
The following describes embodiments of the apparatus of the present disclosure that may be used to perform the preventative maintenance method of a boarding bridge described above in the present disclosure. As shown in fig. 4, a preventive maintenance apparatus 400 of a boarding bridge in an embodiment of the present disclosure includes:
and a threshold group obtaining unit 402, configured to obtain each threshold group in the threshold library of the abnormality determination criterion, where each threshold group includes a first threshold group of signal change of the normal operation state of the component, a second threshold group of service life of the component, a second threshold group of reference replacement time of the component, and a third threshold group of a position where the component abuts against an aircraft door of a boarding bridge.
And the current data acquisition unit 404 is used for acquiring current operation data of the parts of the boarding bridge, wherein the current operation data comprises signal change data, using time and times and the position of the boarding bridge abutting against the cabin door of the airplane.
And the judging unit 406 is configured to judge the predictive maintenance state of the component according to the current operation data and the respective threshold groups of the threshold library of the abnormality judgment standard, and obtain a judgment result.
And a generating unit 408, configured to generate maintenance task data according to the determination result.
Since each functional module of the preventive maintenance apparatus for a boarding bridge of the exemplary embodiments of the present disclosure corresponds to a step of the exemplary embodiments of the preventive maintenance method for a boarding bridge described above, for details not disclosed in the embodiments of the apparatus of the present disclosure, reference is made to the embodiments of the preventive maintenance method for a boarding bridge described above in the present disclosure.
According to the preventive maintenance device for the boarding bridge, provided by the embodiment of the disclosure, the predictive maintenance state of the part is judged according to the current operation data of the part of the boarding bridge and each threshold value group in the threshold value library of the abnormality judgment standard, so that abnormal conditions of boarding bridge equipment can be detected, preventive maintenance is performed in advance, and the probability of failure in avoiding the execution of tasks by the boarding bridge is improved.
Referring now to FIG. 5, a schematic diagram of a computer system 500 suitable for use in implementing embodiments of the present disclosure is shown. The computer system 500 of the electronic device shown in fig. 5 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the system operation are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input section 506 including a keyboard, a mouse, and the like; an output portion 507 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The drive 510 is also connected to the I/O interface 505 as needed. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as needed so that a computer program read therefrom is mounted into the storage section 508 as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 509, and/or installed from the removable media 511. The above-described functions defined in the system of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 501.
It should be noted that the computer readable storage medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable storage medium that may be included in the electronic device described in the above embodiments; or may exist alone without being incorporated into the electronic device. The computer-readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to effect preventive maintenance of the boarding bridge as described in the above embodiments.
For example, the electronic device may implement the various steps as shown in fig. 2 and 3.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A preventative maintenance system for a boarding bridge, the preventative maintenance system comprising:
the preventive maintenance database comprises historical maintenance data, historical signal change data and flight data of parts of the boarding bridge, and model data and flight data of the boarding bridge service aircraft;
the maintenance knowledge base comprises maintenance knowledge and maintenance knowledge of the parts;
The threshold value library of the abnormality judgment standard comprises a first threshold value group of signal change of the normal running state of the part, a second threshold value group of reference replacement time of the part and a third threshold value group of the position of the part, which is close to the cabin door of the aircraft, and each threshold value group of the threshold value library of the abnormality judgment standard is obtained according to the data in the preventive maintenance database and the maintenance knowledge base;
the abnormal judgment module is used for judging the predictive maintenance state of the part according to the current operation data and each threshold value group of the threshold value library of the abnormal judgment standard after the current operation data of the part of the boarding bridge is obtained by a user, and a judgment result is obtained, wherein the current operation data comprises signal change data, using time and times and the position of the boarding bridge, which is abutted against an airplane cabin door;
the maintenance task generating module is used for generating maintenance tasks according to the judging result;
wherein said determining the predictive maintenance status of the component based on the current operational data and the respective threshold sets of the threshold library of the anomaly determination criteria comprises:
judging whether signal change data of parts of the boarding bridge are in a corresponding threshold range of the first threshold group or not, wherein the signal change data comprise action times and action accumulation time of each signal point;
Judging whether the use time and the use times of the parts are within the corresponding threshold range of the second threshold group or not;
judging whether the position of the boarding bridge, which is abutted against the aircraft, is within the corresponding threshold range of the third threshold group;
and judging whether the boarding bridge is deviated from the pickup position after finishing the boarding bridge.
2. A method of preventive maintenance of a boarding bridge, characterized in that the method comprises:
acquiring each threshold value group in a threshold value library of an abnormality judgment standard, wherein each threshold value group comprises a first threshold value group of signal change of a normal running state of a part of a boarding bridge, a second threshold value group of reference replacement time of the part and a third threshold value group of a position of the part, which is abutted against an airplane cabin door of the boarding bridge;
acquiring current operation data of parts of the boarding bridge, wherein the current operation data comprises signal change data, reference replacement time and a position of an airplane cabin door abutting against the boarding bridge;
judging the predictive maintenance state of the part according to the current operation data and the threshold groups of the threshold library of the abnormality judgment standard to obtain a judgment result;
generating maintenance task data according to the judging result;
Wherein said determining the predictive maintenance status of the component based on the current operational data and the respective threshold sets of the threshold library of the anomaly determination criteria comprises:
judging whether signal change data of parts of the boarding bridge are in a corresponding threshold range of the first threshold group or not, wherein the signal change data comprise action times and action accumulation time of each signal point;
judging whether the use time and the use times of the parts are within the corresponding threshold range of the second threshold group or not;
judging whether the position of the boarding bridge, which is abutted against the aircraft, is within the corresponding threshold range of the third threshold group;
and judging whether the boarding bridge is deviated from the pickup position after finishing the boarding bridge.
3. The preventive maintenance method according to claim 2, characterized in that after the judgment result is obtained, the preventive maintenance method further comprises:
recording the judging result to an abnormal part list;
generating a maintenance task according to the judging result, wherein the maintenance task comprises;
and generating a maintenance plan according to the abnormal part list.
4. A method of preventive maintenance according to claim 2, characterized in that,
each threshold value group in the threshold value library of the abnormality judgment standard is obtained according to data and knowledge in a preventive maintenance database and a maintenance knowledge base, wherein the preventive maintenance database comprises historical maintenance data and historical signal change data of parts of the boarding bridge, and model data and flight data of a boarding bridge service aircraft; the maintenance knowledge base comprises maintenance knowledge and maintenance knowledge of the parts.
5. The preventive maintenance method according to claim 4, characterized in that after the maintenance task data is generated according to the judgment result, the preventive maintenance method further comprises:
querying the service knowledge base for use and maintenance knowledge of the components of the boarding bridge.
6. A method of preventive maintenance according to claim 2, characterized in that,
and recording maintenance task data obtained by executing the maintenance tasks into a preventive maintenance database.
7. A preventive maintenance apparatus for a boarding bridge, characterized by comprising:
the system comprises a threshold value group acquisition unit, a control unit and a control unit, wherein the threshold value group acquisition unit is used for acquiring each threshold value group in a threshold value library of an abnormality judgment standard, and each threshold value group comprises a first threshold value group of signal change of a normal running state of a part, a second threshold value group of reference replacement time of the part and a third threshold value group of the position of the part, which is abutted against an airplane cabin door of a boarding bridge;
the current data acquisition unit is used for acquiring current operation data of parts of the boarding bridge, wherein the current operation data comprises signal change data, using time and times and the position of the boarding bridge, which is abutted against an airplane cabin door;
The judging unit is used for judging the predictive maintenance state of the part according to the current operation data and the threshold groups of the threshold library of the abnormal judgment standard to obtain a judging result;
the generating unit is used for generating maintenance task data according to the judging result;
wherein, the judging unit is further configured to:
judging whether signal change data of parts of the boarding bridge are in a corresponding threshold range of the first threshold group or not, wherein the signal change data comprise action times and action accumulation time of each signal point;
judging whether the use time and the use times of the parts are within the corresponding threshold range of the second threshold group or not;
judging whether the position of the boarding bridge, which is abutted against the aircraft, is within the corresponding threshold range of the third threshold group;
and judging whether the boarding bridge is deviated from the pickup position after finishing the boarding bridge.
8. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements a method for preventive maintenance of a boarding bridge according to any one of claims 2 to 6.
9. An electronic device, comprising:
one or more processors;
Storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of preventive maintenance of a boarding bridge of any one of claims 2 to 6.
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| CN114492236A (en) * | 2022-01-17 | 2022-05-13 | 成都飞机工业（集团）有限责任公司 | Preventive maintenance judgment method, device, equipment and storage medium for main condenser |
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