CN109147399A - Blank pipe control order automatic generation method and system - Google Patents
Blank pipe control order automatic generation method and system Download PDFInfo
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- CN109147399A CN109147399A CN201811303326.6A CN201811303326A CN109147399A CN 109147399 A CN109147399 A CN 109147399A CN 201811303326 A CN201811303326 A CN 201811303326A CN 109147399 A CN109147399 A CN 109147399A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/04—Anti-collision systems
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/0043—Traffic management of multiple aircrafts from the ground
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G5/00—Traffic control systems for aircraft, e.g. air-traffic control [ATC]
- G08G5/06—Traffic control systems for aircraft, e.g. air-traffic control [ATC] for control when on the ground
-
- G—PHYSICS
- G11—INFORMATION STORAGE
- G11C—STATIC STORES
- G11C7/00—Arrangements for writing information into, or reading information out from, a digital store
- G11C7/16—Storage of analogue signals in digital stores using an arrangement comprising analogue/digital [A/D] converters, digital memories and digital/analogue [D/A] converters
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- Aviation & Aerospace Engineering (AREA)
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- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Elevator Control (AREA)
Abstract
Blank pipe control order automatic generation method provided by the invention and system, this method include constructing the corresponding control database of each controller；Correlation rule is constructed according to history CFL instruction and corresponding history control voice；Blank pipe operation data is acquired, machine learning is carried out to correlation rule；Construct the corresponding sound bank of each controller；When receiving the new CFL instruction of air traffic control automation system generation, corresponding voice signal is transferred from the sound bank of the controller according to the result of machine learning and is played.This method can record history control and carry out machine learning, and controller can be helped to automatically generate specification, accurate blank pipe control order, reduce control load, avoid slip of the tongue, improve blank pipe operational efficiency and safety.
Description
Technical field
The invention belongs to air traffic control technical fields, and in particular to blank pipe control order automatic generation method and be
System.
Background technique
Air traffic control service and controller pass through blank pipe control order and realize to aircraft air traffic control service,
It can prevent aircraft and aircraft from bumping against in this way, prevent aircraft and barrier from bumping against, accelerate and maintain and is Methodistic aerial
Traffic flow.
Current blank pipe control order is to be issued in such a way that land sky is conversed, and it must satisfy land sky call mark
Mutatis mutandis language.In the sky when traffic congestion, sky call in land will bring a large amount of workload with controller.What is more,
Because of various human factors, controller inevitably there is a phenomenon where slip of the tongue or will speak with a lisp clear, this is by serious obstruction
The normal operation of air traffic control service, or even the safety of air traffic can be threatened.
Summary of the invention
For the defects in the prior art, the present invention provides blank pipe control order automatic generation method and system, Neng Goubang
Controller is helped to automatically generate specification, accurate blank pipe control order.
In a first aspect, a kind of blank pipe control order automatic generation method, comprising the following steps:
Construct the corresponding control database of each controller；Control database includes a plurality of history control voice；
Correlation rule is constructed according to history CFL instruction and corresponding history control voice；
Blank pipe operation data is acquired, machine learning is carried out to correlation rule；
Construct the corresponding sound bank of each controller；
When receiving the new CFL instruction of air traffic control automation system generation, according to the result of machine learning from the control
Corresponding voice signal is transferred in the sound bank of member to play.
Preferably, the corresponding control database of each controller of building specifically includes:
Acquire the history control voice of controller；
The history control voice is labeled, the content of mark include the corresponding controller of the history control voice,
And seat or sector that the controller is responsible for；
History control voice is classified according to different controllers；
According to the corresponding control database of the corresponding history control speech production of each controller.
Preferably, described to be specifically included according to history CFL instruction and corresponding history control voice building correlation rule:
Acquire the history CFL instruction that air traffic control automation system generates；
The history CFL instruction is parsed, history CFL is obtained and instructs corresponding controller；
The corresponding history control voice of history CFL instruction is obtained from the control database of the controller；
The history control voice obtained is parsed, the blank pipe control that controller issues in every history control voice is obtained and refers to
It enables；
It is instructed according to history CFL and the blank pipe control order of corresponding controller's sending constructs correlation rule.
Preferably, the acquisition blank pipe operation data carries out machine learning to correlation rule and specifically includes:
Following blank pipe operation data: integrated track data and basic data is acquired, the basic data includes seat and fan
Area；
Machine learning is carried out to correlation rule using the blank pipe operation data, obtains control in every history CFL instruction
The probability for each blank pipe control order that member issues.
Preferably, the corresponding sound bank of each controller of building specifically includes:
The multiple recording that acquisition controller carries out the blank pipe control order for meeting land sky transmission standard term, obtains multiple
Voice signal；
Voice signal is filtered, according to the sound bank of clearest voice signal building controller.
Preferably, described when receiving the new CFL instruction of air traffic control automation system generation, according to the knot of machine learning
Fruit transfers corresponding voice signal broadcasting from the sound bank of the controller and specifically includes:
When receiving the new CFL instruction of air traffic control automation system generation, the result according to machine learning is provided at least
One control sound options；
After receiving controller and choosing the selection instruction of any control sound options, adjusted from the sound bank of the controller
Corresponding voice signal is taken to play.
Preferably, the knot when receiving the new CFL instruction of air traffic control automation system generation, according to machine learning
Fruit provides at least one control sound options and specifically includes:
When receiving the new CFL instruction of controller's publication, the blank pipe control sent out according to controller in CFL instruction
The probability of instruction is arranged from high to low；
The highest blank pipe control order of several probability is enumerated according to preset number of options；
A control sound options are generated according to each blank pipe control order enumerated.
Preferably, this method transfers corresponding language in the result according to machine learning from the sound bank of the controller
After sound signal plays, further includes:
Default sound bank renewal time；
When reaching the sound bank renewal time, the voice signal of controller, the new language of building controller are resurveyed
Sound library.
Second aspect, a kind of blank pipe control order automatic creation system, comprising:
Control database generation unit: for constructing the corresponding control database of each controller；
Unit: correlation rule is constructed according to history CFL instruction and corresponding history control voice；It is also used to acquire
Blank pipe operation data carries out machine learning to correlation rule；
Sound bank generation unit: for constructing the corresponding sound bank of each controller；
Release unit: for when receiving the new CFL instruction of air traffic control automation system generation, according to machine learning
As a result corresponding voice signal is transferred from the sound bank of the controller to play.
Preferably, the sound bank generation unit is also used to default sound bank renewal time；When the sound bank updates
Between when reaching, resurvey the voice signal of controller, the new sound bank of building controller.
As shown from the above technical solution, blank pipe control order automatic generation method provided by the invention and system, can be right
History control record carries out machine learning, and controller can be helped to automatically generate specification, accurately aerial blank pipe control order, drop
Low control load avoids slip of the tongue, improves blank pipe operational efficiency and safety.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar appended drawing reference.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is the flow chart for the blank pipe control order automatic generation method that embodiment one provides.
Fig. 2 is the flow chart one that embodiment two provides.
Fig. 3 is the flowchart 2 that embodiment two provides.
Fig. 4 is the flow chart one that embodiment three provides.
Fig. 5 is the flowchart 2 that embodiment three provides.
Fig. 6 is the module frame chart for the blank pipe control order automatic creation system that example IV provides.
Specific embodiment
It is described in detail below in conjunction with embodiment of the attached drawing to technical solution of the present invention.Following embodiment is only used for
Clearly illustrate technical solution of the present invention, therefore be only used as example, and cannot be used as a limitation and limit protection model of the invention
It encloses.It should be noted that unless otherwise indicated, technical term or scientific term used in this application are should be belonging to the present invention
The ordinary meaning that field technical staff is understood.
Embodiment one:
A kind of blank pipe control order automatic generation method, referring to Fig. 1, comprising the following steps:
S1: the corresponding control database of each controller is constructed；Control database includes a plurality of history control voice；
S2: correlation rule is constructed according to history CFL instruction and corresponding history control voice；
S3: acquisition blank pipe operation data carries out machine learning to correlation rule；
S4: the corresponding sound bank of each controller is constructed；
S5: when receiving the new CFL instruction of air traffic control automation system generation, according to the result of machine learning from the pipe
Corresponding voice signal is transferred in the sound bank of member processed to play.
Specifically, CFL (cleared flight level) instruction is generated by air traffic control automation system, is to hand in the air
The common instruction of siphunculus reason.
This method can record history control and carry out machine learning, can help controller automatically generate specification, it is accurate,
Clearly air traffic control automation system generates.The workload of controller can effectively be reduced, in the sky for pipe when traffic congestion
Member processed shares part operating pressure, and can effectively avoid slip of the tongue of controller and speak with a lisp clear phenomenon, eliminate by
Air traffic safety hidden danger caused by the above-mentioned not eliminable human factor of controller.
Embodiment two:
Embodiment two on the basis of example 1, increases the following contents:
Referring to fig. 2, the corresponding control database of each controller of building specifically includes:
S11: the history control voice of controller is acquired；
Specifically, the control voice that history control voice, that is, controller issued in the past.
S12: being labeled the history control voice, and the content of mark includes the corresponding control of history control voice
The seat or sector that member and the controller are responsible for；
Specifically, indicate the controller of every history control voice publication out, and known according to above-mentioned blank pipe operation data
The seat or sector that controller is responsible for.
S13: history control voice is classified according to different controllers；
Specifically, the history control speech differentiation that different controllers issued is come out.
S14: according to the corresponding control database of the corresponding history control speech production of each controller.
Specifically, control database is for summarizing to the instruction of controller.
Preferably, described that correlation rule is constructed according to history CFL instruction and corresponding history control voice referring to Fig. 3
It specifically includes:
S21: the history CFL instruction that acquisition air traffic control automation system generates；
S22: the history CFL instruction is parsed, history CFL is obtained and instructs corresponding controller；
S23: the corresponding history control voice of history CFL instruction is obtained from the control database of the controller；
S24: parsing the history control voice of acquisition, obtains the blank pipe control that controller issues in every history control voice
Instruction；
The blank pipe control order that S25: instructing according to history CFL and corresponding controller issues constructs correlation rule.
The acquisition blank pipe operation data carries out machine learning to correlation rule and specifically includes:
S26: acquiring following blank pipe operation data: integrated track data and basic data, and the basic data includes seat
The sector and；
Specifically, the seat and sector being responsible for due to different controllers are fixed, so passing through acquisition blank pipe operation
Data can position the controller of every CFL instruction.
S27: carrying out machine learning to correlation rule using the blank pipe operation data, obtains in every history CFL instruction
The probability for each blank pipe control order that controller issues.
Specifically, it is instructed according to history CFL and the blank pipe control order of corresponding controller's sending constructs correlation rule, to pass
Connection rule carries out machine learning, is just able to know that history CFL instruction is which controller issues in this way.Due to for same
History CFL instruction, the same controller may also can issue different blank pipe control orders, so the result of machine learning is just
It is the probability in order to sum up each blank pipe control order that controller issues in every history CFL instruction.
Such as: A is instructed for CFL, the blank pipe control order that controller A was once issued includes instruction A, instruction B and refers to
Enable C.Wherein instruction A is issued 2 times, and instruction B and instruction C are respectively issued 1 time.In this way, instructing A, the sky that controller A is issued for CFL
The probability of pipe control order includes: that the probability of instruction A is 50%, and instructing the probability of B is 25%, and instructing the probability of C is 25%.
Method provided by the embodiment of the present invention, to briefly describe, embodiment part does not refer to place, can refer to aforementioned side
Corresponding contents in method embodiment.
Embodiment three:
Embodiment three increases the following contents on the basis of other embodiments:
The corresponding sound bank of each controller that constructs specifically includes:
The multiple recording that acquisition controller carries out the blank pipe control order for meeting land sky transmission standard term, obtains multiple
Voice signal；
Voice signal is filtered, according to the sound bank of clearest voice signal building controller.
Specifically, by repeatedly recording, the recorded audio signals of clear utterance is filtered out, the mouth of controller can be effectively avoided
Miss and speak with a lisp clear phenomenon.
Preferably, referring to fig. 4, described when receiving the new CFL instruction of air traffic control automation system generation, according to machine
The result of study is transferred corresponding voice signal broadcasting from the sound bank of the controller and is specifically included:
S31: when receiving the new CFL instruction of air traffic control automation system generation, the result according to machine learning is provided
At least one control sound options；
S32: after receiving controller and choosing the selection instruction of any control sound options, from the sound bank of the controller
In transfer corresponding voice signal and play.
Preferably, described when receiving the new CFL instruction of air traffic control automation system generation referring to Fig. 5, according to machine
The result of study provides at least one control sound options and specifically includes:
S41: it when receiving the new CFL instruction of air traffic control automation system generation, is sent out according to controller in CFL instruction
The probability for the blank pipe control order crossed is arranged from high to low；
S42: the highest blank pipe control order of several probability is enumerated according to preset number of options；
S43: a control sound options are generated according to each blank pipe control order enumerated.
Specifically, since the sky that controller issues in every history CFL instruction has been given in the learning outcome of machine result
The probability of pipe control order instructs when controller needs to issue same CFL, lists controller's sending from high to low according to probability
Several blank pipe control orders, the item number enumerated can determine by administrator or controller.Controller is from the blank pipe pipe enumerated
After selecting one in system instruction, corresponding voice signal is selected to issue.If the blank pipe control order listed does not have controller to think
The instruction wanted then needs controller directly to issue blank pipe control order.
Preferably, this method transfers corresponding language in the result according to machine learning from the sound bank of the controller
After sound signal plays, further includes:
Default sound bank renewal time；
When reaching the sound bank renewal time, the voice signal of controller, the new language of building controller are resurveyed
Sound library.
Specifically, with age due to the same person, sound can all have certain variation, so when interval one
It after the section time, can record again, update the new sound bank of controller.Such as: it can be updated with 1 year primary.It in this way can timely root
According to needing to update voice signal in sound bank, to guarantee that voice signal meets specification, clearly requires.
Method provided by the embodiment of the present invention, to briefly describe, embodiment part does not refer to place, can refer to aforementioned side
Corresponding contents in method embodiment.
Example IV:
A kind of blank pipe control order automatic creation system, referring to Fig. 6, comprising:
Control database generation unit: for constructing the corresponding control database of each controller；
Unit: correlation rule is constructed according to history CFL instruction and corresponding history control voice；It is also used to acquire
Blank pipe operation data carries out machine learning to correlation rule；
Sound bank generation unit: for constructing the corresponding sound bank of each controller；
Release unit: for when receiving the new CFL instruction of air traffic control automation system generation, according to machine learning
As a result corresponding voice signal is transferred from the sound bank of the controller to play.
Preferably, the corresponding control database of each controller of building specifically includes:
Acquire the history control voice of controller；
The history control voice is labeled, the content of mark include the corresponding controller of the history control voice,
And seat or sector that the controller is responsible for；
History control voice is classified according to different controllers；
According to the corresponding control database of the corresponding history control speech production of each controller.
Preferably, described to be specifically included according to history CFL instruction and corresponding history control voice building correlation rule:
Acquire the history CFL instruction that air traffic control automation system generates；
The history CFL instruction is parsed, history CFL is obtained and instructs corresponding controller；
The corresponding history control voice of history CFL instruction is obtained from the control database of the controller；
The history control voice obtained is parsed, the blank pipe control that controller issues in every history control voice is obtained and refers to
It enables；
It is instructed according to history CFL and the blank pipe control order of corresponding controller's sending constructs correlation rule.
Preferably, the acquisition blank pipe operation data carries out machine learning to correlation rule and specifically includes:
Following blank pipe operation data: integrated track data and basic data is acquired, the basic data includes seat and fan
Area；
Machine learning is carried out to correlation rule using the blank pipe operation data, obtains control in every history CFL instruction
The probability for each blank pipe control order that member issues.
Preferably, the corresponding sound bank of each controller of building specifically includes:
The multiple recording that acquisition controller carries out the blank pipe control order for meeting land sky transmission standard term, obtains multiple
Voice signal；
Voice signal is filtered, according to the sound bank of clearest voice signal building controller.
Preferably, described when receiving the new CFL instruction of air traffic control automation system generation, according to the knot of machine learning
Fruit transfers corresponding voice signal broadcasting from the sound bank of the controller and specifically includes:
When receiving the new CFL instruction of air traffic control automation system generation, the result according to machine learning is provided at least
One control sound options；
After receiving controller and choosing the selection instruction of any control sound options, adjusted from the sound bank of the controller
Corresponding voice signal is taken to play.
Preferably, the knot when receiving the new CFL instruction of air traffic control automation system generation, according to machine learning
Fruit provides at least one control sound options and specifically includes:
When receiving the new CFL instruction of air traffic control automation system generation, sent out according to controller in CFL instruction
The probability of blank pipe control order is arranged from high to low；
The highest blank pipe control order of several probability is enumerated according to preset number of options；
A control sound options are generated according to each blank pipe control order enumerated.
Preferably, the sound bank generation unit is also used to default sound bank renewal time；When the sound bank updates
Between when reaching, resurvey the voice signal of controller, the new sound bank of building controller.
The system can record history control and carry out machine learning, and controller can be helped to automatically generate specification, accurate
Air traffic control instruction, reduce control load, avoid slip of the tongue, improve blank pipe operational efficiency and safety.
System provided by the embodiment of the present invention, to briefly describe, embodiment part does not refer to place, can refer to aforementioned side
Corresponding contents in method embodiment.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover within the scope of the claims and the description of the invention.
Claims (10)
1. a kind of blank pipe control order automatic generation method, which comprises the following steps:
Construct the corresponding control database of each controller；Control database includes a plurality of history control voice；
Correlation rule is constructed according to history CFL instruction and corresponding history control voice；
Blank pipe operation data is acquired, machine learning is carried out to correlation rule；
Construct the corresponding sound bank of each controller；
When receiving the new CFL instruction of air traffic control automation system generation, according to the result of machine learning from the controller's
Corresponding voice signal is transferred in sound bank to play.
2. blank pipe control order automatic generation method according to claim 1, which is characterized in that
The corresponding control database of each controller that constructs specifically includes:
Acquire the history control voice of controller；
The history control voice is labeled, the content of mark include the corresponding controller of the history control voice and
The seat or sector that the controller is responsible for；
History control voice is classified according to different controllers；
According to the corresponding control database of the corresponding history control speech production of each controller.
3. blank pipe control order automatic generation method according to claim 1, which is characterized in that
It is described to be specifically included according to history CFL instruction and corresponding history control voice building correlation rule:
Acquire the history CFL instruction that air traffic control automation system generates；
The history CFL instruction is parsed, history CFL is obtained and instructs corresponding controller；
The corresponding history control voice of history CFL instruction is obtained from the control database of the controller；
The history control voice obtained is parsed, the blank pipe control order that controller issues in every history control voice is obtained；
It is instructed according to history CFL and the blank pipe control order of corresponding controller's sending constructs correlation rule.
4. blank pipe control order automatic generation method according to claim 3, which is characterized in that
The acquisition blank pipe operation data carries out machine learning to correlation rule and specifically includes:
Following blank pipe operation data: integrated track data and basic data is acquired, the basic data includes seat and sector；
Machine learning is carried out to correlation rule using the blank pipe operation data, obtains controller's hair in every history CFL instruction
The probability of each blank pipe control order out.
5. blank pipe control order automatic generation method according to claim 4, which is characterized in that
The corresponding sound bank of each controller that constructs specifically includes:
The multiple recording that acquisition controller carries out the blank pipe control order for meeting land sky transmission standard term, obtains multiple voices
Signal；
Voice signal is filtered, according to the sound bank of clearest voice signal building controller.
6. blank pipe control order automatic generation method according to claim 5, which is characterized in that
It is described when receiving the new CFL instruction of air traffic control automation system generation, according to the result of machine learning from the control
Corresponding voice signal broadcasting is transferred in the sound bank of member to specifically include:
When receiving the new CFL instruction of air traffic control automation system generation, the result according to machine learning provides at least one
Control sound options；
After receiving controller and choosing the selection instruction of any control sound options, transferred from the sound bank of the controller pair
The voice signal answered plays.
7. blank pipe control order automatic generation method according to claim 6, which is characterized in that described to receive blank pipe certainly
When the new CFL instruction that dynamicization system generates, the result according to machine learning provides at least one control sound options and specifically wraps
It includes:
When receiving the new CFL instruction of air traffic control automation system generation, the blank pipe sent out according to controller in CFL instruction
The probability of control order is arranged from high to low；
The highest blank pipe control order of several probability is enumerated according to preset number of options；
A control sound options are generated according to each blank pipe control order enumerated.
8. blank pipe control order automatic generation method according to claim 1, which is characterized in that this method is described according to machine
The result of device study is after transferring corresponding voice signal broadcasting in the sound bank of the controller, further includes:
Default sound bank renewal time；
When reaching the sound bank renewal time, the voice signal of controller, the new sound bank of building controller are resurveyed.
9. a kind of blank pipe control order automatic creation system characterized by comprising
Control database generation unit: for constructing the corresponding control database of each controller；
Unit: correlation rule is constructed according to history CFL instruction and corresponding history control voice；It is also used to acquire blank pipe
Operation data carries out machine learning to correlation rule；
Sound bank generation unit: for constructing the corresponding sound bank of each controller；
Release unit: for when receiving the new CFL instruction of air traffic control automation system generation, according to the result of machine learning
Corresponding voice signal is transferred from the sound bank of the controller to play.
10. blank pipe control order automatic creation system according to claim 9, which is characterized in that
The sound bank generation unit is also used to default sound bank renewal time；When reaching the sound bank renewal time, weight
The voice signal of new acquisition controller, the new sound bank of building controller.
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| CN110543129A (en) * | 2019-09-30 | 2019-12-06 | 深圳市酷开网络科技有限公司 | intelligent electric appliance control method, intelligent electric appliance control system and storage medium |
| CN111179926A (en) * | 2019-12-10 | 2020-05-19 | 深圳微品致远信息科技有限公司 | Method and device for generating aircraft control command and computer equipment |
| CN111613096A (en) * | 2020-06-04 | 2020-09-01 | 成都民航空管科技发展有限公司 | CFL instruction pre-warning method and system based on ATC system |
| CN112882488A (en) * | 2021-01-11 | 2021-06-01 | 成都民航空管科技发展有限公司 | Aircraft 4D trajectory prediction method and device |
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