CN110443521A - Flight operation risk acquisition methods, system and computer equipment - Google Patents
Flight operation risk acquisition methods, system and computer equipment Download PDFInfo
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Abstract
The embodiment of the present disclosure provides a kind of flight operation risk acquisition methods, system and computer equipment, the method comprise the steps that extracting the corresponding data of each risk source of target flight from each data system according to the operational plan of target flight；The corresponding data of each risk source are parsed, are matched with pre-set each risk factors and weight, the value and its corresponding weight for each risk factors that each risk source of target flight includes are obtained；The value and its corresponding weight and risk model for each risk factors for including using each risk source, obtain the total risk value of target flight.The above-mentioned technical proposal of the disclosure, the corresponding data of each risk source of flight are extracted from each data system, parsing obtains the various risk factors that each risk source includes and corresponding score value, it can obtain more accurate flight operation risk, be conducive to accurately carry out early warning and assessment to high risk flight before flight takeoff, operational safety degree is improved, avoids that aviation accident occurs.
Description
Technical field
This disclosure relates to field of computer technology more particularly to a kind of flight operation risk acquisition methods, system and calculating
Machine equipment.
Background technique
In security management system (SMS, the Safety Management for the airline that International Civil Aviation Organization advocates
System extremely important to the control of flight operation risk in).Information involved in flight operation is very more, with every Japan Airline
Class measures increasing, and the probability of flight operational management error also accordingly increases.In order to guarantee the safety of flight operation, it is necessary to
The risk of flight operation is assessed in advance.The scheme of current flight operation risk early warning there are the shortcomings that include:
(1) interface data, which exists, parses inaccurate problem, causes to alert deviation, such as: the parsing degree of notice to navigator is inadequate
Refinement, cause can only rude classification, may cause mistake navigation ban notice etc..
It (2) is usually that the people of accident tree, machine, ring horizontal evaluation are lacked the assessment to the intersection risk of people, machine, ring, led
Cause risk evaluation result inaccuracy and alarm deviation.
Summary of the invention
The embodiment of the present disclosure provides a kind of flight operation risk acquisition methods, system and computer equipment, existing to solve
There are one or more technical problems in technology.
In a first aspect, the embodiment of the present disclosure provides a kind of flight operation risk acquisition methods, comprising:
According to the operational plan of target flight, the corresponding number of each risk source of target flight is extracted from each data system
According to；
The corresponding data of each risk source are parsed, are carried out with pre-set each risk factors and weight
Match, obtains the value and its corresponding weight for each risk factors that each risk source of the target flight includes；
The value and its corresponding weight and risk model for each risk factors for including using each risk source, obtain
The total risk value of the target flight.
In one embodiment, the value and its corresponding weight for each risk factors for including using each risk source,
And risk model, obtain the total risk value of the target flight, comprising:
The value and weight for each risk factors for including by each risk source input the risk model, the risk model
For the risk tree shape model established according to the incidence relation of each risk source and each risk factors, each of described risk tree shape model
Node indicates a risk factors；
Obtain the value-at-risk of each risk source of the target flight of risk tree shape model output and described
The total risk value of target flight.
In one embodiment, each risk source includes unit risk source, course line risk source, aircraft risk source and machine
At least one of field risk source.
In one embodiment, this method further include:
The flight operation risk inquiry request of client is received, includes to be checked in the flight operation risk inquiry request
The identification information and time range of flight；
According to the identification information of the flight to be checked, the risk of the flight to be checked in the time range is inquired
Record, obtains the operation risk of the flight to be checked；
The operation risk of the flight to be checked is sent to the client.
In one embodiment, this method further include:
According to the risk record of each flight, to the operation risk of client push relevant flight；Or
It is counted according to operation risk of the risk record of each flight to each flight, obtains the operation risk system of each flight
Count result.
In one embodiment, each data system includes following one or more: pilot's management system, flight
Member's qualification management system, aviation safety management system, operational administrative information system, meteorological system, aircraft technology data
Management system, belief system, notice to navigator system and Electronic Aviation Map system.
In one embodiment, the risk factors that the unit risk source includes be pilot training's table, course line experience,
Airport experience, working experience, pilot's career cycle, information of arranging an order according to class and grade, pilot's record on duty, pilot's English grade examzation, flight
Member security incident, state of flight, pilot's qualification, integration capability assessment, charter record at least one of；Alternatively,
The risk factors that the aircraft risk source includes are type standard, maintenance record, retention fault DD information, aircraft event
Barrier, aircraft utilization, Minimum equipment list MEL, aircraft stop at least one in information；Alternatively,
The risk factors that the course line risk source includes be weather limitation, notice to navigator, be disturbed in course line at least one
；Alternatively,
The risk factors that the airport risk source includes are run-limiting, airport absolute altitude, runway standard, special airport, day
Gas standard, socked-in information, the important notice in airport, in standard of making preparation for dropping, weather information at least one of.
Second aspect, the embodiment of the present disclosure provide a kind of flight operation risk acquisition system, comprising:
Abstraction module extracts each wind of target flight for the operational plan according to target flight from each data system
The corresponding data in dangerous source；
Parsing module, for being parsed to the corresponding data of each risk source, with pre-set each risk factors
And weight is matched, and the value and its corresponding power for each risk factors that each risk source of the target flight includes are obtained
Weight；
Risk model module, the value and its corresponding weight of each risk factors for including using each risk source,
And risk model, obtain the total risk value of the target flight.
In one embodiment, the risk model module is also used to each risk factors for including by each risk source
Value and weight input the risk model, the risk model is to be built according to each risk source and the incidence relation of each risk factors
Each node of vertical risk tree shape model, the risk tree shape model indicates a risk factors；It is tree-like to obtain the risk
The value-at-risk of each risk source of the target flight of model output and the total risk value of the target flight.
In one embodiment, the system further include:
Request module, for receiving the flight operation risk inquiry request of client, the flight operation risk inquiry is asked
It include the identification information and time range of flight to be checked in asking；
Enquiry module, for the identification information according to the flight to be checked, inquiry in the time range it is described to
The risk record for inquiring flight, obtains the operation risk of the flight to be checked；
Sending module, for sending the operation risk of the flight to be checked to the client.
In one embodiment, the system further include:
Pushing module, for the risk record according to each flight, to the operation risk of client push relevant flight；Or
Statistical module obtains each boat for counting according to the risk record of each flight to the operation risk of each flight
The operation risk statistical result of class.
In one embodiment, which further includes the one or more of following data system: pilot's management system,
Pilot's qualification management system, aviation safety management system, operational administrative information system, meteorological system, aircraft technology data number
According to change management system, belief system, notice to navigator system and Electronic Aviation Map system.
The third aspect, present disclose provides a kind of computer equipments, comprising:
Memory is stored thereon with computer executable instructions；
Processor may have access to the memory and execute the executable finger of the computer being stored on the memory
It enables, the computer executable instructions by the processor when being executed, so that the computer equipment executes boat as the aforementioned
Class's operation risk acquisition methods.
The above-mentioned technical proposal of the disclosure extracts the corresponding data of each risk source of flight, parsing from each data system
The various risk factors that each risk source includes are obtained, the risk of flight operation can be assessed, more accurately so as to navigate
Class accurately carries out early warning and assessment to high risk flight before taking off, and improves operational safety degree, avoids that aviation accident occurs.
Above-mentioned general introduction is merely to illustrate that the purpose of book, it is not intended to be limited in any way.Except foregoing description
Schematical aspect, except embodiment and feature, by reference to attached drawing and the following detailed description, the present invention is further
Aspect, embodiment and feature, which will be, to be readily apparent that.
Detailed description of the invention
In the accompanying drawings, unless specified otherwise herein, otherwise indicate the same or similar through the identical appended drawing reference of multiple attached drawings
Component or element.What these attached drawings were not necessarily to scale.It should be understood that these attached drawings are depicted only according to the disclosure
Disclosed some embodiments, and should not be taken as the limitation to disclosure range.
Fig. 1 shows the flow chart of the flight operation risk acquisition methods according to the embodiment of the present disclosure.
Fig. 2 shows the data that flight operational plan is obtained in the flight operation risk acquisition methods according to the embodiment of the present disclosure
Flow graph.
Fig. 3 shows the flow chart of the flight operation risk acquisition methods according to the embodiment of the present disclosure.
Fig. 4 shows the data flow diagram that risk record is generated according to the flight operation risk acquisition methods of the embodiment of the present disclosure.
Fig. 5 shows the data flow diagram that ETL is handled in the flight operation risk acquisition methods according to the embodiment of the present disclosure.
Fig. 6, which is shown, obtains the signal that system is interacted with other data systems according to the flight operation risk of the embodiment of the present disclosure
Figure.
Fig. 7 shows the exemplary diagram of the component assesses index item and terminal factor that include in data system.
Fig. 8 shows the exemplary diagram for the risk factors that each risk source includes.
Fig. 9 shows the structural block diagram that system is obtained according to the flight operation risk of the embodiment of the present disclosure.
Figure 10 shows the structural block diagram that system is obtained according to the flight operation risk of the embodiment of the present disclosure.
Figure 11 shows the network environment schematic diagram according to the computer equipment of the embodiment of the present disclosure.
Specific embodiment
Hereinafter, certain exemplary embodiments are simply just described.As one skilled in the art will recognize that
Like that, without departing from the spirit or the scope of the present disclosure, described embodiment can be modified by various different modes.
Therefore, attached drawing and description are considered essentially illustrative rather than restrictive.
Fig. 1 shows the flow chart of the flight operation risk acquisition methods according to the embodiment of the present disclosure.As shown in Figure 1, described
Method includes:
S11, according to the operational plan of target flight, each risk source that target flight is extracted from each data system is corresponding
Data；
S12, the corresponding data of each risk source are parsed, is carried out with pre-set each risk factors and weight
Matching obtains the value and its corresponding weight for each risk factors that each risk source of the target flight includes；
S13, the value for each risk factors for including using each risk source and its corresponding weight and risk model,
Obtain the total risk value of the target flight.
Wherein, risk model can the incidence relation of each risk source and each risk factors is established according to the tree-like mould of risk
Each node of type, the risk tree shape model indicates a risk factors.Each risk factors for including by each risk source
Value and weight input the risk model, obtain each risk of the target flight of the risk tree shape model output
The total risk value of the value-at-risk in source and the target flight.
In a kind of example, each risk source includes but is not limited to unit risk source, course line risk source, aircraft risk source
At least one of with airport risk source.The risk factors that each risk source includes can there are many.A certain risk source
Risk factors can be distributed in one or more data systems.It also can have incidence relation between different risk factors.
It can establish risk tree shape model using the incidence relation such as degree of membership between each risk factors.The tree-like mould of risk
Each node of type indicates a risk factors.The risk factors of leaf node in risk tree shape model can also be known as eventually
End factor.The value of each terminal factor and weight are inputted into risk tree shape model, are weighted and averaged the available leaf node
Upper one layer of risk factors value.Using the value and weight of each layer of risk factors, successively calculate from bottom to top, it is available
The value-at-risk of each risk source of flight.In risk tree shape model, the corresponding node of each risk source also belongs to risk factors.Cause
This is combined using the value and weight of each risk source with other risk factors, continues successively to calculate upwards, available section
The value of point.It can be using the value of root node as the total risk value of target flight.The weight of risk factors in risk tree shape model
It can be fixed value, be also possible to variation.
In a kind of example, risk tree shape model can be a kind of variable weight fuzzy level evaluation model.It is fuzzy using variable weight
The method of the acquisition flight operation risk of Hierarchy Evaluation model may include: each risk factors according to target flight, in risk
Each associated nodes of the target flight are determined in tree shape model；Using the child node in each associated nodes degree of membership to
Amount, weight and fuzzy operator successively calculate the membership vector and value-at-risk of the parent node of child node upper level；Risk is tree-like
Value-at-risk of the value-at-risk of the root node of model as the target flight.
For example, the attribute of each node includes value-at-risk and membership vector in risk tree shape model.It is closed with connection
Belong to mother-child relationship (MCR) between the two-layer node of system, upper layer node is parent node, and next node layer that parent node is connected is the mother
The child node of node.
Wherein, the calculation method of the membership vector of the leaf node of risk tree shape model includes: to utilize each associated nodes
In each leaf node value-at-risk and the corresponding membership function of multiple risk, calculate separately the corresponding person in servitude of each risk
Category degree obtains the membership vector of each leaf node.For example, membership function may include trapezoidal membership function, parabola
π membership function, function of normal distribution, Cauchy are distributed π membership function or ridge shape membership function etc..
Then, it using membership vector, weight and the fuzzy operator of the child node in each associated nodes, successively calculates
The membership vector and value-at-risk of the parent node of child node upper level, comprising: utilize and each child node associated by parent node
Membership vector forms jdgement matrix；Using each child node relative to the weight of the parent node, the jdgement matrix with
And fuzzy operator, obtain the membership vector of the parent node；Using the membership vector of the parent node, female section is calculated
The value-at-risk of point.For example, being carried out using the average risk value of each risk as weight with the membership vector of the parent node
Weighted average, obtains the value-at-risk of the parent node.
Further, it is also possible to determine weight of each child node relative to the parent node by analytic hierarchy process (AHP).Specifically
Include: that significance level by each child node associated by same parent node relative to the parent node is compared two-by-two, utilizes
All ratios in comparison result form judgment matrix, and the maximum eigenvalue of the determining judgment matrix and standardized feature
Vector；According to the maximum eigenvalue of the judgment matrix, the index for examining the judgment matrix approach is determined；If the finger
Each component in the standardized feature vector within a preset range, is then determined as associated by the same parent node by mark
The weight of each child node.
In a kind of example, the mode for obtaining the operational plan of target flight may include: that flight operation risk obtains system
The operational plan of target flight is obtained from each airline.Referring to fig. 2, system receive airline flight operational plan and
It transports keyholed back plate and manages data.The operation meter of available one or more target flights from flight operational plan and fortune keyholed back plate reason data
It draws.It, can be to aviation after extracting data using the operational plan of target flight and the operation risk of target flight is calculated
Operational management personnel send flight operation risk, fortune control quality and trend analysis result etc..Wherein, flight operation risk obtains
System may operate in computer equipment, and the various terminals which can log in aviation operation administrative staff are for example hand-held
Equipment, laptop, desktop computer etc. send flight operation risk, fortune control quality and trend analysis result etc..At these
Flight operation risk, fortune control quality and trend analysis result etc. are shown on the display interface of terminal.
In addition, by FTP (File Transfer Protocol, File Transfer Protocol) downloading, passing through Web Service
(network service) interface obtains, by the operational plan of the available target flights of modes such as Excel importing, manually input.Its
In, FTP is one of the agreement in ICP/IP protocol group.Web Service is the application program based on programmable web, can be made
It described, issued, found, assisted with open XML (extensible markup language, Extensible Markup Language) standard
It reconciles and configures above-mentioned application program.Excel is a spreadsheet software.
After obtaining the value-at-risk of each flight, can support real-time query, can also to relative clients end push remind and
Alarm.For example, if the value-at-risk of some flight exceed threshold value, to airline belonging to the flight, related airport,
And the relative clients end push of clearance personnel etc. is reminded or warning information.In addition, in addition to the value-at-risk for reminding or alerting flight
Except, it can also remind or alert the concrete condition of each risk source and each risk source that cause flight risk.Such as: by
The bad weather caused by strong wind makes certain flight operation risk value high.
Fig. 3 shows the flow chart of the flight operation risk acquisition methods according to the embodiment of the present disclosure.As shown in figure 3,
To after the operation risk of each flight, in one embodiment, the method also includes:
S21, the flight operation risk inquiry request for receiving client, include in the flight operation risk inquiry request to
Inquire the identification information and time range of flight.
S22, according to the identification information of the flight to be checked, inquiry flight to be checked in the time range
Risk record obtains the operation risk of the flight to be checked.
S23, Xiang Suoshu client send the operation risk of the flight to be checked.
In one embodiment, the method also includes: according to the risk record of each flight, to client push correlation
The operation risk of flight.For example, the value-at-risk or total risk value when some risk source of some flight are higher than given threshold
In the case of, to the operation risk of the various client push flights related with the flight, warning information can also be pushed.
In one embodiment, the method also includes: according to the risk record of each flight to the operation wind of each flight
Danger is counted, and the operation risk statistical result of each flight is obtained.For example, each boat can be counted according to the risk record of history
Class occur total risk value be higher than given threshold probability, there is risk source distribution situation when high risk, in fact it could happen that risk
Trend etc..
In a kind of example, referring to fig. 4, after obtaining flight operational plan, it can obtain and the flight operational plan, progress
After ETL (Extract-Transform-Load extracts conversion load) processing (step 1), basic data is obtained.Basic data can
To include the various wind such as unit information, airplane information, Airport information, flight plan, route information, security information, clearance information
Dangerous factor.The score value that these basic datas are calculated with each risk factors according to pre-set code of points, obtains each wind
Regular calculated result (the step 2) of dangerous factor.Furthermore these regular calculated results be can recorde and obtain regular record (step 3).
For example, airport experience is to fly the airport for the first time, experience corresponding score value in airport can be 8 points, often fly once to subtract 2 point.For another example,
Course line experience is to fly the course line for the first time, and experience corresponding score value in airport can often fly once to subtract 2 point with 8 points.The embodiment of the present invention
The unlimited particular content for determining code of points, as long as meeting the objective natural law of aviation operation risk.
Then, continue Risk Calculation in risk model using the value-at-risk of each risk source, obtain the risk of flight
Value (such as each risk source of flight value-at-risk and flight the risk datas such as total risk value).And record flight these
Risk data obtains risk record (step 4).These risk datas can there are many apply (step 5).For example, real-time query
(step 6) inquires real-time and following 7 days flight operation risks.For another example, risk pushes (step 7), obtains history and reality
When flight operation risk.For another example, Risk statistic (step 8) obtains the operation risks such as the trend analysis of flight operation risk system
Count result.In addition, using information such as data, regular record, risk record, the clearance personnel extracted with the flight operational plan,
Key post analysis (step 9) can be carried out, fortune control attributional analysis result etc. is obtained.For example, being determined according to Risk statistic result
Which seat is often easy to misplace flight, and error reason, which dispatch clearance personnel often misplaces flight etc., to assess whether
Professional training etc. in terms of seat workload allocations are unreasonable, what personnel need to reinforce.
It may comprise steps of in ETL treatment process referring to Fig. 5: data pick-up carried out according to flight operational plan
(step 1.1), extracts the corresponding data of each risk source according to flight operational plan from each data system, such as meteorological telegraphic messages,
Flight plan, clearance data etc..After carrying out data parsing (step 1.2) to the data of extraction, unit information, aircraft letter are obtained
The data such as breath, Airport information, flight plan, route information, security information, clearance information.Data conversion is carried out to these data
(step 1.3) obtains integrated data.Then it carries out data conversion again to integrated data and obtains basic data (step 1.4), institute
State the data that basic data is format needed for meeting risk model.
As shown in fig. 6, flight operation risk obtains system and belongs to a kind of digitized operation wind in a kind of application example
Dangerous assessment system can dock various data systems by external data interface.From these data systems, extracts and run with flight
The corresponding data of the related each risk source of risk.For example, data system may include: OMIS (Operation Management
Information System, operational administrative information system), FMS (Flight Crew Management System, tof tube
Reason system), pilot's qualification management system, SAP (Systems Application, system application), SMS (Safety
Management System, aviation safety management system), meteorological system such as WNI (Weather News Inc., meteorological news
Company), TDMS (Technical Document Management System, aircraft technology data management system),
SOC (system on a chip, system level chip or system on chip), interface system, belief system, notice to navigator
(NOTAM, Notice To Airmen) system and Electronic Aviation Map system etc..Each number of flight operation risk acquisition system and access
According to one or more interfaces can be run between system, pass through these interfaces and each data system interaction data.For example, and SMS
Between operation 3 between interface, with FRMS run 4 11 interfaces are separately operable between interface, with OMIS, with reliability and
2 are run between SOC, and 2 interfaces are separately operable between interface, with FMS, TDMS.Data interaction is carried out between above system to be transported
Capable interface quantity is only exemplary rather than limitation.In actual application, according to the difference of target flight, risk source etc., it is
The interface and interface quantity that progress data interaction is run between system can be different.
Unit information, airplane information, environmental information, boat can be excavated from these data systems with big data technology
Class's information and flight plan information etc. data related with flight operation risk, calculate in conjunction with fuzzy membership algorithm and machine learning
Obtain flight operation risk.
In a kind of application example, flight operation risk, which obtains system, can interact number with various data systems by interface
According to.See example above, these data systems may include: FMS, pilot's qualification management system, SMS, flight preparation net, can
By property system, notice to navigator system, Electronic Aviation Map system, meteorological system, OMIS, SAP system etc..It can be in these data systems
Including several evaluation index items.These evaluation index items and various terminals factor have certain incidence relation.Wherein, one
Evaluation index item can correspond to one or more terminal factors.Multiple evaluation index items can also correspond to a terminal factor.
As shown in fig. 7, may include multiple assessment index item and terminal factor in each data system.Wherein, component assesses
The example of index item and terminal factor is as follows:
(1) may include: from the evaluation index item that FMS is obtained
Course line experience, corresponding terminal factor are course line experience.
Such as airport number (in 1 year), corresponding terminal factor are airport experience to pilot within a certain period of time.
This type rises and falls number, industrial grade, and corresponding terminal factor is that this type rises and falls number.
Industrial grade, this type pilot time number, corresponding terminal factor are this type flight time.
Age, corresponding terminal factor are age composition.
The flight number of days of captain's last time so far, corresponding terminal factor are to fly captain's the last time.
The flight number of days of the passenger side last time so far, corresponding terminal factor are the flight of the passenger side the last time.
(2) may include: from the evaluation index item that pilot's qualification management system obtains
Captain's skill level, the passenger side skill level, corresponding terminal factor are skill level combination.
The qualification of captain is flight qualification apart from the remaining effective number of days of flight date, corresponding terminal factor.
Repacking type, Air Passenger turns Boeing, Boeing turns Air Passenger, and corresponding terminal factor is work experience.
(3) may include: from the evaluation index item that SMS is obtained
Accident pattern, the accident time limit, corresponding terminal factor are safety records.
Automatic Landing ratio, pilot typical case transfinite number, and corresponding terminal factor is the/monitor event that transfinites.
(4) may include: from the evaluation index item that other related web sites such as flight preparation net obtains
Personality matching, corresponding terminal factor are personality orientation.
State of flight score value, corresponding terminal factor are state of flight.
(5) include: from the available evaluation index item of belief system
The failure exceeding standard rate at hundred pilot time, corresponding terminal factor are aircraft operational reliability.
(6) may include: from the evaluation index item that SAP system obtains
Pilot time after overhaul factory, whether overhaul/change first shift, whether overhaul first shift, whether change first shift,
Corresponding terminal factor is overhaul/change rear maiden voyage.
(7) may include: from the evaluation index item that notice to navigator system obtains
Type classification is noticed, corresponding terminal factor is important notice.
Limit grade is noticed, corresponding terminal factor is notice limitation.
(8) may include: from the evaluation index item that Electronic Aviation Map and WNI system obtain
Segment is influenced by volcanic ash, volcanic ash influences height, is influenced to navigate by typhoon influence segment, by severe turbulence accumulated ice
Section, by severe turbulence accumulated ice influence degree, corresponding terminal factor is that weather limits.
(9) may include: from the evaluation index item that OMIS is obtained
Oil consumption deviation, corresponding terminal factor are oil consumption deviation.
Number, corresponding terminal factor are yaw in the sea for yaw.
Weather phenomenon grade, corresponding terminal factor are weather phenomenon.
It rises and falls the airport time difference, corresponding terminal factor is the course line time difference.
Airline operation hour, corresponding terminal factor are course line duration.
Above-mentioned many index item can permit manual maintenance, such as the finger of Electronic Aviation Map, notice to navigator, SAP, OMIS etc.
Mark item.Further, it is also possible to be arranged some individually by the index item of manual maintenance.Such as: evaluation and test score, course line property, airport
Score, course line running score etc..These index item also can have corresponding terminal factor.
As shown in figure 8, being the exemplary diagram for the risk factors that each risk source of the embodiment of the present disclosure includes.A certain risk source
Possible kinds of risks factor, these risk factors may be distributed in multiple data systems.
In one embodiment, the risk factors that the unit risk source may include are pilot training's table, course line
Experience, airport experience, working experience, pilot's career cycle, information of arranging an order according to class and grade, pilot's record on duty, pilot's English grade examzation,
Pilot's security incident, state of flight, pilot's qualification, integration capability assessment, charter record at least one of.These machines
The risk factors that group risk source includes can be obtained from FMS, pilot's qualification management system etc..
The risk factors that the aircraft risk source may include are type standard, maintenance record, retention fault (Deferred
Defect, DD) information, airplane fault, aircraft utilization, Minimum equipment list (Minimum Equipment List, MEL),
Aircraft stops at least one in information.The risk factors that these aircraft risk sources include can be obtained from SAP system etc..
The risk factors that the course line risk source may include are weather limitation, notice to navigator, are disturbed in course line extremely
One item missing.The risk factors that these course line risk sources include are obtained from the systems such as Electronic Aviation Map, WNI, notice to navigator.
The risk factors that the airport risk source may include are run-limiting, airport absolute altitude, runway standard, special machine
Field, weather standard, socked-in information, the important notice in airport, in standard of making preparation for dropping, weather information at least one of.These airports
The risk factors that risk source includes are obtained from the systems such as OMIS, WNI, notice to navigator.
Fig. 9 shows the structural block diagram that system is obtained according to the flight operation risk of the embodiment of the present disclosure.As shown in figure 9, institute
The system of stating includes:
Abstraction module 51 extracts each of target flight for the operational plan according to target flight from each data system
The corresponding data of risk source；
Parsing module 52, for being parsed to the corresponding data of each risk source, with pre-set each risk because
Element and weight are matched, and the value of each risk factors that each risk source of the target flight includes and its corresponding is obtained
Weight；
Risk model module 53, the value and its corresponding power of each risk factors for including using each risk source
Weight and risk model, obtain the total risk value of the target flight.
In one embodiment, the risk model module is also used to each risk factors for including by each risk source
Value and weight input the risk model, the risk model is to be built according to each risk source and the incidence relation of each risk factors
Each node of vertical risk tree shape model, the risk tree shape model indicates a risk factors；It is tree-like to obtain the risk
The value-at-risk of each risk source of the target flight of model output and the total risk value of the target flight.
Data warehouse technology ETL can be applied, extracts mesh from various data systems with Fig. 5, abstraction module referring to fig. 4
Mark the corresponding data of each risk source of flight.Data are parsed, converted etc. with processing by parsing module, obtains each risk source
Including each risk factors.Then the risk factors and risk model for including using each risk source, obtain the operation of target flight
Risk.It specifically may refer to the associated description in the above method.
Figure 10 shows the structural block diagram that system is obtained according to the flight operation risk of the embodiment of the present disclosure.In a kind of embodiment party
In formula, as shown in Figure 10, the system further include:
Request module 61, for receiving the flight operation risk inquiry request of client, the flight operation risk inquiry
It include the identification information and time range of flight to be checked in request；
Enquiry module 62, for the identification information according to the flight to be checked, inquiry is described in the time range
The risk record of flight to be checked obtains the operation risk of the flight to be checked；
Sending module 63, for sending the operation risk of the flight to be checked to the client.
In one embodiment, the system further include: pushing module 64, for the risk record according to each flight, to
The operation risk of client push relevant flight.
In one embodiment, the system further include: statistical module 65, for according to the risk record of each flight to each
The operation risk of flight is counted, and the operation risk statistical result of each flight is obtained.
In one embodiment, which further includes the one or more of following data system: pilot's management system,
Pilot's qualification management system, aviation safety management system, operational administrative information system, meteorological system, aircraft technology data number
According to change management system, interface system, belief system, notice to navigator system and Electronic Aviation Map system.Referring to Fig. 6, Fig. 7 and its phase
Close description.
In one embodiment, each risk source includes unit risk source, course line risk source, aircraft risk source and machine
At least one of field risk source.
In one embodiment, referring to Fig. 8 and its associated description, the risk factors that the unit risk source includes are winged
Office staff train table, course line experience, airport experience, working experience, pilot's career cycle, information of arranging an order according to class and grade, pilot record on duty,
During pilot's English grade examzation, pilot's security incident, state of flight, pilot's qualification, integration capability assessment, charter record
At least one of；Alternatively,
The risk factors that the aircraft risk source includes are type standard, maintenance record, retention fault DD information, aircraft event
Barrier, aircraft utilization, Minimum equipment list MEL, aircraft stop at least one in information；Alternatively,
The risk factors that the course line risk source includes be weather limitation, notice to navigator, be disturbed in course line at least one
；Alternatively,
The risk factors that the airport risk source includes are run-limiting, airport absolute altitude, runway standard, special airport, day
Gas standard, socked-in information, the important notice in airport, in standard of making preparation for dropping, weather information at least one of.
The concrete function of each module in the present embodiment in flight operation risk acquisition system may refer to above method reality
The associated description of example is applied, this will not be repeated here.
Figure 11 shows the network environment schematic diagram for realizing the computer equipment of one embodiment according to the disclosure.According to
The flight operation risk acquisition methods of the embodiment of the present disclosure, which may be implemented in, individually to be calculated in equipment 101, also may be implemented in example
In the multiple calculating equipment 101 and 103 such as communicated by network 104, or can also realize in server 102 and/or
In the one or more calculating equipment 101,103 being in communication with by network 104.For realizing according to the embodiment of the present disclosure
Flight operation risk acquisition methods it is one or more calculate equipment 101,103 or server 102 may include memory and
Processor, computer executable instructions are stored on memory, and processor may have access to memory and simultaneously execute storage on a memory
Computer executable instructions.Computer executable instructions make to calculate equipment 101,103 or service when being executed by processor
Device 102 is able to carry out flight operation risk acquisition methods as described above.
Calculating equipment 101 and 103 can be any suitable terminal device, including but not limited to personal computer, notes
This computer, desktop computer, tablet computer, personal digital assistant, server, mobile phone etc..Wherein, the terminal device and/or meter
Calculate machine equipment can isolated operation realize the present invention, also can access network and pass through the friendship with other computer equipments in network
Interoperability is to realize the present invention.Wherein, network locating for the terminal device/computer equipment include but is not limited to internet,
Mobile communications network, wide area network, Metropolitan Area Network (MAN), local area network, VPN (Virtual Private Network, Virtual Private Network)
Deng.Equipment in network includes but is not limited to single network server, the server group of multiple network servers composition or is based on
The cloud consisting of a large number of computers or network servers of cloud computing (Cloud Computing), wherein cloud computing is distributed
One kind of calculating, a super virtual computer consisting of a loosely coupled set of computers.
It should be noted that the terminal device, computer equipment, the network equipment and network etc. are only for example, other are existing
Computer equipment that is having or being likely to occur from now on or network are such as applicable to the present invention, should also be included in the scope of the present invention
Within, and be incorporated herein by reference.
In several embodiments provided by the disclosure, it should be appreciated that disclosed method, apparatus and equipment can pass through
Other modes are realized.Apparatus embodiments described above are merely indicative, for example, stroke of the module or unit
Point, only a kind of logical function partition, there may be another division manner in actual implementation, such as: multiple module or components can
To combine, or it is desirably integrated into another device, or some features can be ignored or not executed.In addition, shown or discussed
The mutual coupling of each component part or direct-coupling or communication connection can be through some interfaces, equipment or module
Indirect coupling or communication connection can be electrical, mechanical or other forms.
Herein, module or unit " being used for " refer to that such module or unit can be used hardware and (such as handle and set
Standby and memory) Lai Shixian, or software (for example, application) or firmware instructions can be executed in the processing equipment of such as processor
When realized using software or firmware.
Above-mentioned module as illustrated by the separation member or unit, which can be or may not be, to be physically separated, as
The component that module or unit are shown can be or may not be physical unit, it can and it is in one place, it can also be distributed
Onto multiple network units；Some or all of units can be selected to realize this embodiment scheme according to the actual needs
Purpose.
In addition, each functional module or unit in various embodiments of the present invention can be fully integrated into a processing module or
In unit, it is also possible to each module or unit individually as a module or unit, it can also be two or more
Module or unit are integrated in a module or unit；Above-mentioned integrated module or unit both can take the form of hardware reality
It is existing, it can also be realized in the form of the functional module or unit of hardware, software, firmware or their any combination.
Those of ordinary skill in the art will appreciate that: realize the disclosure described in various embodiments of the method whole or
This can be accomplished by hardware associated with program instructions for part steps, and program above-mentioned can store computer-readable deposits in one
In storage media, which when being executed, executes step including the steps of the foregoing method embodiments；And storage medium above-mentioned includes: to move
Dynamic storage equipment, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access
Memory), the various media that can store program identification such as magnetic or disk.
If alternatively, the above-mentioned integrated unit of the present invention is realized in the form of software function module and as independent product
When selling or using, it also can store in a computer readable storage medium.Based on this understanding, the present invention is implemented
Substantially the part that contributes to existing technology can be embodied in the form of software products the technical solution of example in other words,
The computer software product is stored in a storage medium, including some instructions are used so that computer equipment (can be with
It is personal computer, server or network equipment etc.) execute all or part of each embodiment the method for the present invention.
And storage medium above-mentioned includes: that movable storage device, ROM, RAM, magnetic or disk etc. are various can store program identification
Medium.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain
Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (13)
1. a kind of flight operation risk acquisition methods characterized by comprising
According to the operational plan of target flight, the corresponding data of each risk source of target flight are extracted from each data system；
The corresponding data of each risk source are parsed, is matched, is obtained with pre-set each risk factors and weight
The value and its corresponding weight for each risk factors that each risk source to the target flight includes；
The value and its corresponding weight and risk model for each risk factors for including using each risk source obtain described
The total risk value of target flight.
2. the method according to claim 1, wherein the value for each risk factors for including using each risk source
And its corresponding weight and risk model, obtain the total risk value of the target flight, comprising:
The value and weight for each risk factors for including by each risk source input the risk model, and the risk model is root
According to the risk tree shape model that each risk source and the incidence relation of each risk factors are established, each node of the risk tree shape model
Indicate a risk factors；
Obtain the value-at-risk and the target of each risk source of the target flight of the risk tree shape model output
The total risk value of flight.
3. the method according to claim 1, wherein
Each risk source includes at least one of unit risk source, course line risk source, aircraft risk source and airport risk source.
4. the method according to claim 1, wherein further include:
The flight operation risk inquiry request of client is received, includes flight to be checked in the flight operation risk inquiry request
Identification information and time range；
According to the identification information of the flight to be checked, the risk note of the flight to be checked in the time range is inquired
Record, obtains the operation risk of the flight to be checked；
The operation risk of the flight to be checked is sent to the client.
5. the method according to claim 1, wherein further include:
According to the risk record of each flight, to the operation risk of client push relevant flight；Or
It is counted according to operation risk of the risk record of each flight to each flight, obtains the operation risk statistics knot of each flight
Fruit.
6. the method according to any one of claims 1 to 5, each data system includes following one or more: flying
Office staff's management system, aviation safety management system, operational administrative information system, meteorological system, flies at pilot's qualification management system
Machine technical data digitization management system, belief system, notice to navigator system and Electronic Aviation Map system.
7. the method according to any one of claims 1 to 5, which is characterized in that
The risk factors that the unit risk source includes are pilot training's table, course line experience, airport experience, working experience, fly
Office staff's career cycle, information of arranging an order according to class and grade, pilot's record on duty, pilot's English grade examzation, pilot's security incident, state of flight,
At least one of during pilot's qualification, integration capability are tested and assessed, charter records；Alternatively,
The risk factors that the aircraft risk source includes be type standard, maintenance record, retention fault DD information, airplane fault,
Aircraft utilization, Minimum equipment list MEL, aircraft stop at least one in information；Alternatively,
The risk factors that the course line risk source includes are weather limitation, notice to navigator, at least one being disturbed in course line；Or
Person,
The risk factors that the airport risk source includes are run-limiting, airport absolute altitude, runway standard, special airport, weather mark
Standard, socked-in information, the important notice in airport, in standard of making preparation for dropping, weather information at least one of.
8. a kind of flight operation risk obtains system characterized by comprising
Abstraction module extracts each risk source of target flight for the operational plan according to target flight from each data system
Corresponding data；
Parsing module, for being parsed to the corresponding data of each risk source, with pre-set each risk factors and power
It is matched again, obtains the value and its corresponding weight for each risk factors that each risk source of the target flight includes；
Risk model module, the value and its corresponding weight of each risk factors for including using each risk source, and
Risk model obtains the total risk value of the target flight.
9. system according to claim 8, which is characterized in that the risk model module is also used to each risk source
Including each risk factors value and weight input the risk model, the risk model is according to each risk source and each risk
Each node of the risk tree shape model that the incidence relation of factor is established, the risk tree shape model indicates a risk factors；
Obtain each risk source of the target flight of risk tree shape model output value-at-risk and the target flight
Total risk value.
10. system according to claim 8, which is characterized in that further include:
Request module, for receiving the flight operation risk inquiry request of client, in the flight operation risk inquiry request
Identification information and time range including flight to be checked；
Enquiry module is inquired described to be checked in the time range for the identification information according to the flight to be checked
The risk record of flight obtains the operation risk of the flight to be checked；
Sending module, for sending the operation risk of the flight to be checked to the client.
11. system according to claim 8, which is characterized in that further include:
Pushing module, for the risk record according to each flight, to the operation risk of client push relevant flight；Or
Statistical module obtains each flight for counting according to the risk record of each flight to the operation risk of each flight
Operation risk statistical result.
12. the system according to any one of claim 8 to 11, which is characterized in that further include the one of following data system
It is a or multiple: pilot's management system, pilot's qualification management system, aviation safety management system, operational administrative information system,
Meteorological system, aircraft technology data management system, belief system, notice to navigator system and Electronic Aviation Map system.
13. a kind of computer equipment characterized by comprising
Memory is stored thereon with computer executable instructions；
Processor may have access to the memory and execute the computer executable instructions being stored on the memory,
The computer executable instructions by the processor when being executed, so that the computer equipment executes such as claim 1 to 7
Any one of described in flight operation risk acquisition methods.
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| CN113298425A (en) * | 2021-06-17 | 2021-08-24 | 如东信息技术服务(上海)有限公司 | Analysis, evaluation and prediction method and system for aviation operation risk |
| CN113807649A (en) * | 2021-07-30 | 2021-12-17 | 浙江工商大学 | Civil aviation flight safety assessment system based on Bayesian network |
| CN115409438A (en) * | 2022-11-03 | 2022-11-29 | 成都沃飞天驭科技有限公司 | Low-altitude flight risk control method and device, aircraft and storage medium |
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Application publication date: 20191112 |