CN113095625B - Method and system for grading unsafe events of civil aviation airport - Google Patents

Method and system for grading unsafe events of civil aviation airport Download PDF

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CN113095625B
CN113095625B CN202110283664.3A CN202110283664A CN113095625B CN 113095625 B CN113095625 B CN 113095625B CN 202110283664 A CN202110283664 A CN 202110283664A CN 113095625 B CN113095625 B CN 113095625B
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event
determining
events
event information
processed
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CN113095625A (en
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李怡凡
刘洋
赵宇涵
刘畅
党婉丽
周杨
廖方民
朱敏
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Second Research Institute of CAAC
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Abstract

The invention provides a classification method and a classification system for unsafe events of a civil aviation airport, wherein the method comprises the following steps: acquiring event information of an event to be processed; determining whether a matching event matched with the event to be processed exists in a preset event library or not according to the event information; if yes, determining the event grade of the event to be processed according to the matched event; if the event does not exist, determining an estimated loss factor of the event to be processed according to the event information and the historical event information set, and determining an event grade according to the estimated loss factor; and outputting the event grade. The grading method provided by the invention can determine the matching event in the preset event library according to the acquired event information of the event to be processed, and directly determine the event grade. And when the matching event can not be directly matched, the event grade can be determined through the estimated loss factor of the event to be processed. The automatic grading is realized without manual operation, and the condition that grading is determined manually by experience in the existing method is avoided.

Description

Method and system for grading unsafe events of civil aviation airport
Technical Field
The invention relates to the field of civil aviation event processing, in particular to a classification method and a classification system for unsafe events of a civil aviation airport.
Background
The operation management and control of the civil aviation airport refers to a management mode and means for improving the normal operation efficiency of the airport under the condition that the airport is based on safety. The autonomous operation control of the civil aviation airport refers to that the civil aviation airport needs to take part in manual work in daily operation flow to be handed to a machine to realize intelligent processing so as to get rid of the problem that negative effects are generated on operation due to low efficiency, subjectivity errors and the like caused by manual work according to relevant policies and self development trends.
Before determining the departments and personnel to be processed for a specific event, the events need to be graded. The existing grading is manually judged by workers through experience.
Disclosure of Invention
Accordingly, the present invention is directed to a method and system for classifying unsafe events at civil airport, which at least partially solves the problems of the prior art.
According to one aspect of the disclosure, a method for grading unsafe events at a civil airport is provided, which comprises the following steps:
acquiring event information of an event to be processed;
determining whether a matching event matched with the event to be processed exists in a preset event library or not according to the event information; the preset event library is provided with a plurality of preset events, and each preset event has corresponding preset event information;
if yes, determining the event grade of the event to be processed according to the matching event;
if the event information does not exist, determining the estimated loss factor of the event to be processed according to the event information and the historical event information set, and determining the event grade according to the estimated loss factor;
and outputting the event grade.
In an exemplary embodiment of the present disclosure, the determining whether a matching event matching the to-be-processed event exists in a preset event library according to the event information includes:
respectively matching the event information with a plurality of preset events in the preset event library;
and determining a preset event which accords with a complete matching condition with the event information as the matching event.
In an exemplary embodiment of the present disclosure, the preset event library includes the historical event library and a statutory event library.
In an exemplary embodiment of the present disclosure, the determining the estimated loss factor of the event to be processed according to the event information and the historical event information set includes:
according to the event information and the historical event information set, determining the similar events of the events to be processed from a historical event library;
and determining the estimated loss factor according to the similar event and the event information.
In an exemplary embodiment of the present disclosure, the determining the estimated loss factor according to the homogeneous event and the event information includes:
acquiring an event relation graph; the event relation graph comprises a plurality of events and incidence probability of association among the events, wherein each event has estimated loss;
determining an event development path of the event to be processed from the event correlation diagram according to the similar event and the event information;
and determining the estimated loss factor according to the event development path.
In an exemplary embodiment of the present disclosure, the event development path includes a plurality of branch paths;
determining the estimated loss factor according to the event development path comprises:
and determining the estimated loss factor according to the branch estimated loss factor of each branch path.
In an exemplary embodiment of the present disclosure, the determining, from a historical event library, a homogeneous event of the to-be-processed event according to the event information and the historical event information set includes:
and determining the historical event corresponding to the historical event information with the highest similarity to the event information in the historical event information set as the similar event.
In an exemplary embodiment of the present disclosure, the estimated loss factor includes: loss of personnel factor and loss of economy factor.
In an exemplary embodiment of the present disclosure, the determining the event rating according to the estimated loss factor comprises:
determining a first grade according to the personnel loss factor;
determining a second grade according to the economic loss factor;
and determining that a comparison condition is met in the first grade and the second grade as the event grade.
According to one aspect of the present disclosure, there is provided a civil aviation airport insecure event rating system, comprising:
the information acquisition module is used for acquiring event information of the event to be processed;
the grading module is used for determining whether a matching event matched with the event to be processed exists in a preset event library or not according to the event information; the preset event library is provided with a plurality of preset events, and each preset event has corresponding preset event information;
if yes, determining the event grade of the event to be processed according to the matching event;
if the event information does not exist, determining the estimated loss factor of the event to be processed according to the event information and the historical event information set, and determining the event grade according to the estimated loss factor;
and the output module outputs the event grade.
The invention provides a classification method and a classification system for unsafe events of a civil aviation airport, which can determine a matching event in a preset event library according to the obtained event information of an event to be processed and directly determine the level of the event. And when the matching event can not be directly matched, the event grade can be determined through the estimated loss factor of the event to be processed. The automatic grading is realized without manual operation, and the condition that grading is carried out manually by experience in the existing method is avoided.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 schematically shows a flow chart of a method for grading unsafe events at a civil airport.
Fig. 2 schematically shows a part of a diagram of the event relations involved in the method.
Fig. 3 schematically shows a schematic diagram of an event development path corresponding to a bird strike event involved in the method.
Detailed Description
Embodiments of the present invention are described in detail below with reference to the accompanying drawings.
It should be noted that, in the case of no conflict, the features in the following embodiments and examples may be combined with each other; moreover, based on the embodiments in the present disclosure, all other embodiments obtained by a person of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present disclosure.
It is noted that various aspects of the embodiments are described below within the scope of the appended claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the disclosure, one skilled in the art should appreciate that one aspect described herein may be implemented independently of any other aspects and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. Additionally, such an apparatus may be implemented and/or such a method may be practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
The embodiment provides a classification method for unsafe events of a civil aviation airport, which can be applied to a classification system for the unsafe events of the civil aviation airport. Accordingly, the present invention can also be applied to other electronic devices capable of implementing the method, such as computers, servers, cloud processors, etc., but it is not necessary to attach to the electronic devices of the entity, and the method can be implemented by using a certain code or computing power carrier. In this embodiment, an unsafe event classification system for civil aviation airports is taken as an example for explanation. It should be understood that the present embodiment is described only in the form of a system, and may exist in the form of a module in one system in actual implementation.
Specifically, referring to fig. 1, the method includes the following steps:
step S100, event information of the event to be processed is obtained.
The event to be processed and the corresponding event information can be obtained through manual input of workers, and also can be obtained through information input of corresponding detection equipment or identification equipment. The event information may include at least one of: event name, time, location, place, affected subject profile, reason for abnormality, department involved, etc. Because the processing modes, event types and the like of different events to be processed have certain differences, it can be understood that the required event information can be confirmed according to specific events when different events to be processed are processed.
Step S300, according to the event information, determining whether a matching event matched with the event to be processed exists in a preset event library. The preset event library is provided with a plurality of preset events, and each preset event has corresponding preset event information. The preset event information may correspond to the above-mentioned event information, but may also be more detailed information for subsequent analysis and utilization.
If yes, executing step S500, and determining the event level of the event to be processed according to the matching event.
If not, executing step S700, and determining the estimated loss factor of the event to be processed according to the event information and the historical event information set.
And step S800, determining the event grade according to the estimated loss factor. The estimated loss factor can reflect the influence caused by the event to be processed to a certain extent.
And step S900, outputting the event grade.
It is understood that, under the basic condition, the present embodiment is to provide the event level output to other systems or modules for further processing the event to be processed according to the event level, so step S900 is to further utilize the step corresponding to the event level. The fractionation process alone is not necessarily a necessary step.
In this embodiment, the generation method is based on a civil aviation event automatic handling process generation system, so that the implementation subject of each step may be the system, or may be different function modules corresponding to the system, and the embodiment is not particularly limited.
The embodiment provides a classification method for unsafe events of a civil aviation airport, which can determine a matching event in a preset event library according to the obtained event information of an event to be processed, and directly determine the event grade. And when the matching event can not be directly matched, the event grade can be determined through the estimated loss factor of the event to be processed. The automatic grading is realized without manual operation, and the condition that grading is determined manually by experience in the existing method is avoided.
In an exemplary embodiment of the present disclosure, step S500 may specifically include:
step S510, matching the event information with a plurality of preset events in the preset event library respectively. The matching manner may be to compare the event information with preset event information corresponding to each preset event, specifically, a plurality of pieces of sub information may be compared during the comparison, or the sub information may be compared in sequence according to the importance degree or the influence degree.
Step S530, determining a preset event meeting a complete matching condition with the event information as the matching event. Since each event to be processed may be an emergency, and most of the emergency may be different, if the matching degree is set to a threshold, a matching event may be matched even if some important information is not matched, and such a matching result is definitely hidden. Therefore, in the present embodiment, the event that matches the perfect match condition is determined as a match event. Of course, since some information is of low importance, such information may be weakened or ignored when setting the perfect matching condition. That is, when the unimportant information is not completely matched, the matching event can be matched. That is, the perfect matching condition may be interpreted as a perfect match for some preset important information.
In an exemplary embodiment of the present disclosure, the preset event library includes the historical event library and a statutory event library. Where a statutory event library is meant to encompass all events specified in the upper law (some events specified specifically in the official statutes or regulations, each event having a well-defined level). The historical event library refers to historical events which have occurred in the history of the airport (and other airports can be added), and historical event information corresponding to the historical events.
Correspondingly, because the preset event library comprises two sub-event libraries, the default legal event library has higher level in specific implementation, so that matching is carried out in the current legal event library, and the matching result of the legal event library is prioritized.
In an exemplary embodiment of the present disclosure, step S700 may specifically include:
step S710, according to the event information and the historical event information set, determining the similar events of the events to be processed from a historical event library.
And step S730, determining the estimated loss factor according to the similar event and the event information.
The historical event information set may be a set formed by historical event information corresponding to all historical events in the historical event library. Events of the same kind are to a certain extent understood to be events similar to the events to be processed or events that can be classified into the same class according to the event classification method. The specific event classification method can be used for classifying through a separately arranged event classification system or module, and can also be used for classifying according to some preset rules.
The similar events have the same or similar influence or guidance, so that the estimated loss factor of the event to be processed can be determined through comprehensive analysis of the event information and the similar events.
In an exemplary embodiment of the present disclosure, step S710 may specifically include:
step S711 determines, as the event of the same type, a historical event corresponding to the historical event information with the highest similarity to the event information in the historical event information set.
Because a plurality of events in the same category can exist in the historical events, in order to enable the subsequent analysis of the estimated loss factors to be more accurate, the historical event with the best similarity is selected as the similar event, on one hand, the calculation amount of the subsequent analysis can be reduced, and on the other hand, the accuracy of the estimated loss factors can also be improved.
In an exemplary embodiment of the present disclosure, step S730 may specifically include:
in step S731, an event relationship diagram is acquired.
The event relation graph comprises a plurality of events and incidence probability of association among the events, wherein each event has an estimated loss.
Step S733, determining an event development path of the event to be processed from the event correlation map according to the similar event and the event information.
Step S735, determining the estimated loss factor according to the event development path.
Specifically, referring to fig. 1, the event relationship diagram can be characterized by a plurality of events, and the associated events have a connection line therebetween and indicate the probability of a preceding event triggering a subsequent event. The event relation graph can be drawn according to all historical event information and all existing knowledge and experience. The drawing method may adopt a form of drawing by an intelligent model according to data, or drawing manually, and the like, and is not limited in this embodiment. In theory, the event graph may contain all known events.
It is understood that the event relationship diagram can be understood as a general diagram, and the pending events and associated related events which may cause occurrence may occupy only a part of the event relationship diagram. Therefore, the most preferable event development path is determined as much as possible in the event relation graph through the event information of the similar events and the events to be processed. And determining the estimated loss factor according to the event development path. The event development path can be characterized by being a path which is drawn according to the event relevance and the relevance occurrence probability in the event relation graph and is obtained by extracting the events in the event development path according to the event relation graph. The method can be characterized in that the event relation graph is obtained by directly intercepting the event relation graph.
In an exemplary embodiment of the present disclosure, the event development path includes a plurality of branch paths;
in step S735, the following steps may be specifically performed: and determining the estimated loss factor according to the branch estimated loss factor of each branch path.
Since each event to be processed may develop in a different direction during the development process, the event development path inevitably has multiple branch paths in some cases, and since the number of events on different branch paths and the associated occurrence probability may be different, the occurrence probability of each branch path is also different. The specific calculation mode may be the calculation according to the number of events on the branch path and the association occurrence probability.
It can be understood that, when determining the estimated loss factor according to the branch estimated loss factor of each of the branch paths, the occurrence probability of different branch paths will also be used as an influence factor to influence the calculation of the estimated loss probability. For example, the probability may be multiplied by the branch prediction loss factor for the branch path.
In an exemplary embodiment of the present disclosure, the estimated loss factor includes: loss of personnel factor and loss of economy factor.
Accordingly, step S800 includes:
step S810, determining a first grade according to the personnel loss factor.
And step S830, determining a second grade according to the economic loss factor.
Step S850, determining that the comparison condition is met in the first level and the second level as the event level.
In this embodiment, the personal loss and the economic loss are individually subjected to the rank determination. So that different levels will be provided with two corresponding thresholds. In this embodiment, the event level may include low to high: department level, area level, and airport level. There may be six thresholds, three for each type of penalty. In determining the rank, the rank may be determined by matching the respective loss factors to corresponding thresholds.
The comparison conditions may be set according to different requirements, such as a preference for personnel loss, a preference for economic loss, a preference for low levels, or a preference for high levels. Meanwhile, the priority of personnel loss or economic loss is set to be different according to the requirement under different levels. It can be characterized by example as airport level (loss of personnel) > regional level (loss of personnel) > airport level (loss of economy) > regional level (loss of economy)
To further illustrate the grading method provided in the present embodiment, the present embodiment provides a practical implementation case for reference and understanding.
The concrete explanation is as follows:
s1: unsafe event entry
When an unsafe event occurs, the airport staff enters the event into an event processing module, and the entry characteristics comprise: time, location, place, affected subject profile, cause of abnormality, department involved, etc.
For an aircraft to experience a bird strike event while in flight, the following should be entered:
time: year 2020, 11, 18, 10
Position: in the air
A place: above the yang
Affected subjects: aircraft
Affected subject profile: flight number CA4334, flying from Guangzhou to Chengdu
The reason for the abnormality is as follows: the aircraft being struck by birds
The related departments: navigation department, air traffic control, airport operation and control center and airport flight area
S2: event sample library comparison
The event sample library comprises events specified in the upper method, the characteristics of the newly-generated unsafe events are compared with the characteristics of the events in the event sample library, if the characteristics of the newly-generated unsafe events are similar to the characteristics of the events specified in the upper method, corresponding treatment is carried out according to the regulations, and if the characteristics of the newly-generated unsafe events cannot be matched with the characteristics of the events specified in the upper method, the events are transmitted to an event analysis module.
For the event of bird strike in the flight of the aircraft, the comparison is carried out in the event sample library, and the upper method does not clearly specify the handling to be carried out by the event, so the event is transmitted to the event analysis module.
S3: unsafe event analysis
The event analysis module receives unsafe events which are not clearly specified by a higher-level method in the event sample library, forms an event relation network of the unsafe events according to results caused by the same type of events which occur in the past, calculates the probability of other types of events caused by the events according to historical statistical results, determines the results which are possibly caused by the events finally, and carries out quantitative analysis on the results, thereby calculating the expected loss value of the events.
For a bird strike event, as shown in FIG. 3, through analysis of historical events, it was found that a bird strike event would result in three situations: accidents, aircraft glass breakage and aircraft engine damage do not occur, and the probability of occurrence of the three conditions is respectively 0.8, 0.1 and 0.1 according to historical data statistics. For an aircraft glass damage event, the probability of no accident is 0.9 and the probability of pricking the pilot is 0.1 according to historical data. For the event of pricking the pilot, the probability of no accident is 0.8 and the probability of the pilot being unable to operate is 0.2 according to the historical data. For the event that the pilot cannot control, the probability of no accident is 0.7 and the probability of plane crash is 0.3 according to historical data. The same can be done to calculate the probability of each event caused by engine failure. Through the constructed event relation network, the bird strike aircraft event can generate three results: airplane crash, damage to facilities and equipment, and personal injury and death. The loss of all unsafe events occurring in an airport can be divided into economic loss and casualty loss, the average economic loss of airplane crash events which occur historically is calculated to be 300 units, the average economic loss of damaged facility equipment is calculated to be 10 units, the average loss of casualty is calculated to be 4 units, and if no accident occurs, the event loss is considered to be 0. The losses incurred by the events are:
an external grounding event: 10 × 0.4 (economic loss) +4 × 0.3 (loss of casualties) =4 (economic loss) +1.2 (loss of casualties)
Forced landing event: 300 x 0.3 (economic loss) + [4 (economic loss) +1.2 (loss of casualties) ] x0.2=90.8 (economic loss) +0.24 (loss of casualties)
An engine failure event: [90.8 (loss of economy) +0.24 (loss of casualty) ] + 0.7=63.56 (loss of economy) +0.168 (loss of casualty)
An engine damaging event: [63.56 (economic loss) +0.168 (loss of casualty) ] + 0.4=25.424 (economic loss) +0.0672 (loss of casualty)
Failure to handle aircraft events: 300 (economic loss) × 0.3=90 (economic loss)
Pricking pilot events: 90 (economic loss) × 0.2=18 (economic loss)
Glass damage event: 18 (economic loss) × 0.1=1.8 (economic loss)
Bird strike event: 1.8 (economic loss) × 0.1+ [25.424 (economic loss) +0.0672 (loss of casualty) ] +0.1 =2.7224 (economic loss) +0.00672 (loss of casualty)
The resulting loss from a bird strike event is therefore an economic loss of 2.7224 units and a loss of 0.00672 units of casualties.
S4: event rating analysis
After determining the loss caused by unsafe events, threshold values need to be set, different threshold values correspond to different event levels, and the method is divided into three levels: department level, area level, airport level, the event handling subject corresponding to different levels of events and the distributed resources are all different.
In the event of a bird strike, the loss of the event is calculated to be 2.7224 units of economic loss and 0.00672 units of casualty loss according to historical data, and the casualty loss and the loss threshold value of the economic loss are automatically defined by airports and airlines due to the difference of safety operation standards of different airports and airlines. The threshold values are assumed in this case to be:
department level events: 0 < economic loss less than or equal to 1 unit, or 0 < casualty loss less than or equal to 0.0002 unit
Region level events: 1 unit < economic loss < 3 units, or 0.0002 unit < casualty loss < 0.0008 unit
Airport-level events: 3 units < economic loss, or 0.0008 units < casualty loss so the bird strike event is an area level event, with the area as the subject of disposal to carry out the disposal of the event.
S5: event archive analysis
After the unsafe events are handled, the events need to be archived, stored according to event categories and event characteristics, and meanwhile, the events can be subjected to statistical analysis, and after a certain characteristic is screened, the events with the characteristic and the probability of occurrence of the associated events can be counted.
For a bird strike event, after the area management department places the event, the event handling information is automatically transmitted into the event filing module, the event case library is updated, and the occurrence number and probability of various events are updated. The associated events caused by the events which occur historically and the probability of each event can be displayed through feature screening, so that the situation of unsafe events can be controlled, corresponding treatment is carried out, the occurrence of the associated events is avoided, and the loss of airports is reduced to the minimum.
According to one aspect of the present disclosure, there is provided a civil aviation airport insecure event rating system, comprising:
and the information acquisition module is used for acquiring the event information of the event to be processed.
The grading module is used for determining whether a matching event matched with the event to be processed exists in a preset event library or not according to the event information; the preset event library is provided with a plurality of preset events, and each preset event is provided with corresponding preset event information.
And if so, determining the event grade of the event to be processed according to the matching event.
If the event information does not exist, determining the estimated loss factor of the event to be processed according to the event information and the historical event information set, and determining the event grade according to the estimated loss factor.
And the output module outputs the event grade.
The specific details of each module in the hierarchical system for unsafe events of civil aviation airports have been described in detail in the corresponding information processing method, and therefore are not described in detail here.
Moreover, although the steps of the methods of the present disclosure are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, 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 (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Accordingly, various aspects of the present invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device according to this embodiment of the invention. The electronic device is only an example and should not bring any limitation to the function and the scope of use of the embodiments of the present invention.
The electronic device is in the form of a general purpose computing device. Components of the electronic device may include, but are not limited to: the at least one processor, the at least one memory, and a bus connecting the various system components (including the memory and the processor).
Wherein the storage stores program code that is executable by the processor to cause the processor to perform steps according to various exemplary embodiments of the present invention as described in the "exemplary methods" section above of this specification.
The memory may include readable media in the form of volatile memory, such as Random Access Memory (RAM) and/or cache memory, and may further include read-only memory (ROM).
The storage may also include a program/utility having a set (at least one) of program modules including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The bus may be any representation of one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures.
The electronic device may also communicate with one or more external devices (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface. Also, the electronic device may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via a network adapter. As shown, the network adapter communicates with other modules of the electronic device over the bus. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, to name a few.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, 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 (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (7)

1. A classification method for unsafe events of civil aviation airports is characterized by comprising the following steps:
acquiring event information of an event to be processed;
determining whether a matching event matched with the event to be processed exists in a preset event library or not according to the event information; the preset event library is provided with a plurality of preset events, and each preset event has corresponding preset event information;
if yes, determining the event grade of the event to be processed according to the matching event;
if the event information does not exist, determining the estimated loss factor of the event to be processed according to the event information and the historical event information set, and determining the event grade according to the estimated loss factor;
outputting the event grade; the preset event library comprises a historical event library and a legal event library;
the determining the estimated loss factor of the event to be processed according to the event information and the historical event information set comprises the following steps:
according to the event information and the historical event information set, determining the similar events of the events to be processed from a historical event library;
determining the estimated loss factor according to the similar event and the event information;
the determining the estimated loss factor according to the similar event and the event information comprises:
acquiring an event relation graph; the event relation graph comprises a plurality of events and association occurrence probabilities among the events, wherein each event has estimated loss;
determining an event development path of the event to be processed from the event correlation diagram according to the similar event and the event information;
and determining the estimated loss factor according to the event development path.
2. The method for ranking civil aviation airport insecure events according to claim 1, wherein said determining whether there is a matching event in a predetermined event repository matching said pending event according to said event information comprises:
respectively matching the event information with a plurality of preset events in the preset event library;
and determining a preset event which accords with a complete matching condition with the event information as the matching event.
3. The method for ranking unsafe events at civil airport according to any of claims 1 or 2, characterized in that said preset event library comprises said historical event library and legal event library.
4. The method of grading an unsafe event at a civil airport according to claim 1, wherein said event development path comprises a plurality of branch paths;
determining the estimated loss factor according to the event development path comprises:
and determining the estimated loss factor according to the branch estimated loss factor of each branch path.
5. The method for grading unsafe events at civil aviation airport according to claim 1, wherein said determining similar events of said events to be processed from historical event library according to said event information and said historical event information set comprises:
and determining the historical event corresponding to the historical event information with the highest similarity to the event information in the historical event information set as the similar event.
6. The method of grading unsafe events at civil airport according to claim 1, wherein said estimating loss factors comprises: loss of personnel factor and loss of economy factor.
7. The method of ranking unsafe events for civil airport according to claim 6, wherein said determining said event ranking based on said estimated loss factor comprises:
determining a first grade according to the personnel loss factor;
determining a second grade according to the economic loss factor;
and determining that a comparison condition is met in the first grade and the second grade as the event grade.
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