CN109947900A - A kind of dispatching method and system based on natural language - Google Patents
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Abstract
The invention discloses a kind of dispatching method and system based on natural language.This method comprises the following steps: obtaining the natural language for describing dispatch command and scheduler object；Natural language is identified to extract keyword, and keyword is converted into linguistic labels；Linguistic labels are matched with the preset language label in linguistic labels identification library to generate feature vocabulary；Feature vocabulary is matched with the default feature vocabulary of external system, and pushes at least one operation pages chained address to output equipment according to matching degree；In the confirmation instruction for receiving input, at least one corresponding dispatch command in operation pages chained address is sent to the interface of external system, so that external system completes scheduling operation.Using dispatching method and system of the invention, dispatching efficiency can be effectively promoted, reduces the working strength of dispatcher.
Description
Technical field
The present invention relates to urban rail transit technology field more particularly to a kind of dispatching method based on natural language and it is
System.
Background technique
Existing urban track traffic dispatching and command system includes the gauze command system and route level of gauze level
Signal system, comprehensive monitoring system.Urban track traffic dispatching and command system includes the real-time monitoring page of train and equipment, fortune
The row statistic page, operation operation pages, the network management page and secondary page, wherein these pages are usually provided with use
In function button, menu and the input frame of input scheduling instruction, so that dispatcher can pass through the input equipments such as keyboard, mouse reality
The input of existing dispatch command, and then complete the scheduling to train and equipment.However, due to the operation of train in urban track traffic
Density is larger, number of devices is more, then dispatcher needs the page quantity of switching big before input scheduling instruction, and many pages
The familiarity of system and memory must be completed by dispatcher, this allows for existing dispatching method and there is scheduling
The problem of low efficiency.
Summary of the invention
In view of the above-mentioned problems, one kind of the invention
In order to solve the above technical problems, a kind of dispatching method based on natural language of the invention, includes the following steps:
Obtain the natural language for describing dispatch command and scheduler object；
The natural language is identified to extract keyword, and the keyword is converted into linguistic labels；
The linguistic labels are matched with the preset language label in linguistic labels identification library to generate feature vocabulary；
The feature vocabulary is used to indicate the corresponding relationship between linguistic labels and dispatch command or scheduler object；
The feature vocabulary is matched with the default feature vocabulary of external system, and according to matching degree to output equipment
Push at least one operation pages chained address；
In the confirmation instruction for receiving input, the interface of Xiang Suoshu external system sends at least one described operation pages
The corresponding dispatch command in chained address, so that the external system completes scheduling operation.
As an improvement of the above scheme, the operation pages chained address is provided with priority tag；
In the confirmation instruction for receiving input, the interface of Xiang Suoshu external system sends at least one described operation pages
Further include following steps before the corresponding dispatch command in chained address:
At least one described operation pages chained address is ranked up according to the sequence of priority tag from high to low；
The operation pages of at least one operation pages chained address described in after being sorted by output equipment display.
As an improvement of the above scheme, before obtaining the natural language for describing dispatch command and scheduler object, also
Include the following steps:
Set the discrimination of the natural language and the numerical value of the matching degree.
As an improvement of the above scheme, described the natural language to be identified to extract keyword, including walk as follows
It is rapid:
The natural language is compared with preset keyword language；The keyword language is used to indicate description and closes
The natural language of key word, the keyword language and keyword have corresponding relationship；
When matching degree between the natural language and the keyword language reaches preset discrimination, according to described
Keyword language extracts corresponding keyword.
As an improvement of the above scheme, described to push at least one operation pages chain ground connection to output equipment according to matching degree
Location includes the following steps:
When the numerical value of the matching degree reaches preset numerical value, corresponding operation pages chain ground connection is pushed to output equipment
Location.
The scheduling system based on natural language that the present invention also provides a kind of, comprising:
Natural language acquires equipment, for obtaining the natural language for describing dispatch command and scheduler object；
Natural language recognition module, for carrying out parsing identification to the natural language to extract keyword, and will be described
Keyword is converted to linguistic labels；
Feature vocabulary generation module, for by the linguistic labels and linguistic labels identification library in preset language label into
Row matching is to generate feature vocabulary；The feature vocabulary is used to indicate pair between linguistic labels and dispatch command or scheduler object
It should be related to；
Feature vocabulary matching module, for the feature vocabulary to be matched with the default feature vocabulary of external system,
And at least one operation pages chained address is pushed according to matching degree；
Dispatch command generation module, in the confirmation instruction for receiving input, the interface of Xiang Suoshu external system to be sent out
At least one described corresponding dispatch command in operation pages chained address is sent, so that the external system completes scheduling operation.
As an improvement of the above scheme, the operation pages chained address is provided with priority tag；
The scheduling system further include:
Sequencing unit, for being grounded according to the sequence of priority tag from high to low at least one described operation pages chain
Location is ranked up；
Output equipment, for show sequence after described at least one operation pages chained address operation pages.
As an improvement of the above scheme, the scheduling system further include:
System management module, for setting the discrimination of the natural language and the numerical value of the matching degree.
As an improvement of the above scheme, the natural language recognition module includes:
Comparing unit, for the natural language to be compared with preset keyword language；The keyword language
It is used to indicate the natural language of description keyword, the keyword language and keyword have corresponding relationship；
Extraction unit reaches preset identification for the matching degree between the natural language and the keyword language
When rate, corresponding keyword is extracted according to the keyword language.
As an improvement of the above scheme, the feature vocabulary matching module includes:
Push unit, for being pushed to output equipment corresponding when the numerical value of the matching degree reaches preset numerical value
Operation pages chained address.
Compared with prior art, implement dispatching method and system of the invention to have the following beneficial effects: by will be natural
Keyword in language is converted to linguistic labels, and generates feature vocabulary using linguistic labels, and then according to feature vocabulary and outside
The matching degree of the default feature vocabulary of portion's system pushes at least one operation pages chained address to output equipment, so that operation
Page link address can avoid dispatcher's frequent switching page quantity according to natural language automatic push, improve operation page
The accuracy of face chained address push, and then improve dispatching efficiency；Meanwhile in the confirmation instruction for receiving input just to correspondence
External system interface send dispatch command, can further improve the accuracy of scheduling, so that dispatcher is entirely dispatching
Input validation is only needed to instruct in the process, scheduling operation is simple, moreover it is possible to reduce the working strength of dispatcher.
Detailed description of the invention
Fig. 1 is a kind of flow diagram of dispatching method based on natural language of the embodiment of the present invention 1.
Fig. 2 is a kind of flow diagram of dispatching method based on natural language of the embodiment of the present invention 2.
Fig. 3 is a kind of structural schematic diagram of scheduling system based on natural language of the embodiment of the present invention 3.
Fig. 4 is the data flow diagram that system is dispatched in the embodiment of the present invention 3.
Specific embodiment
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention.But the present invention can be with
It is different from the other modes of this description much to implement, those skilled in the art can be without violating the connotation of the present invention
Similar popularization is done, therefore the present invention is not limited by the specific embodiments disclosed below.
Clear, complete description is carried out to technical solution of the present invention with attached drawing combined with specific embodiments below.
Referring to Figure 1, be the embodiment of the present invention 1 a kind of dispatching method based on natural language flow diagram.
As shown in Figure 1, the dispatching method includes the following steps:
S1, natural language for describing dispatch command and scheduler object is obtained；
In step sl, natural language includes the acoustic information of dispatcher, using sound pick-up or microphone completion pair
The acquisition of acoustic information.
S2, natural language is identified to extract keyword, and the keyword extracted is converted into linguistic labels；
Wherein, natural language is identified to extract keyword in step s 2, is included the following steps:
S21, natural language is compared with preset keyword language；Keyword language is used to indicate description keyword
Natural language, keyword language and keyword have corresponding relationship；
When S22, the matching degree between natural language and keyword language reach preset discrimination, according to keyword language
Speech extracts corresponding keyword.
Step S21~S22 is illustrated below, for example, when the natural language got is " to open and completely contact
When net scheduling interface ", then by it with preset keyword language " opening ", " all fronts ", " contact net ", " scheduling ", " interface " into
Row compares in pairs；When " opening all fronts contact net scheduling interface " and " opening ", " all fronts ", " contact net ", " scheduling ", " interface "
In the matching degree of single comparison when reaching preset discrimination, then extract corresponding keyword, and then keyword is converted to
Linguistic labels.
S3, linguistic labels are matched with the preset language label in linguistic labels identification library to generate feature vocabulary；
Feature vocabulary is used to indicate the corresponding relationship between linguistic labels and dispatch command or scheduler object；
In step s3, the mapping table of linguistic labels Yu feature vocabulary is prestored in linguistic labels identification library, then language
Say tag recognition library according to linguistic labels feature vocabulary corresponding with the offer of the corresponding relationship of feature vocabulary.For example, when " opening ",
" all fronts ", " contact net ", " scheduling ", " interface " linguistic labels be input to linguistic labels identification library when, linguistic labels identify library
By above-mentioned linguistic labels are matched into corresponding feature vocabulary " execution movement-opening ", " target-interface ", " particular content-is complete
Line, contact net ".
S4, feature vocabulary is matched with the default feature vocabulary of external system, and according to matching degree to output equipment
Push at least one operation pages chained address；
In step s 4, since external system is preset with feature vocabulary and multiple external systems can have identical Feature Words
It converges, such as " link of all fronts contact net operation pages ", " connection of all fronts electrical power wiring graphic operation page ", " uplink contact net behaviour
Make page link ", in " link of downlink contact net operation pages " comprising " target-interface ", " particular content-all fronts ", " have
Internal appearance-contact net ", thus according to the matching degree of feature vocabulary and the default feature vocabulary of system come push operation page chain
The accuracy of push can be improved in ground connection location, and then improves dispatching efficiency.
S5, receive input confirmation instruction when, to the interface of external system send at least one operation pages link
The corresponding dispatch command in address, so that external system completes scheduling operation.
In step s 5, it can be instructed, be realized to operation page by the input equipments input validation such as keyboard, mouse or touch screen
The transmission of the corresponding dispatch command of face link address operates, working strength that is easy to operate, can reducing dispatcher.
Compared with prior art, it is of the invention it is a kind of based on the dispatching method of natural language by by the pass in natural language
Key word is converted to linguistic labels, and generates feature vocabulary using linguistic labels, and then according to the pre- of feature vocabulary and external system
If the matching degree of feature vocabulary to output equipment pushes at least one operation pages chained address, so that operation pages chain is grounded
Location can avoid dispatcher's frequent switching page quantity according to natural language automatic push, improve operation pages chained address
The accuracy of push, and then improve dispatching efficiency；Meanwhile in the confirmation instruction for receiving input just to corresponding external system
Interface send dispatch command, can further improve the accuracy of scheduling so that dispatcher in entire scheduling process only need
Input validation is wanted to instruct, scheduling operation is simple, moreover it is possible to reduce the working strength of dispatcher.
Fig. 2 is referred to, is a kind of flow diagram of dispatching method based on natural language of the embodiment of the present invention 2.
As shown in Fig. 2, the dispatching method is other than comprising the Overall Steps in embodiment 1, further includes: operation pages chain
Ground connection location is provided with priority tag；
Further include following steps before step S5:
S51, at least one operation pages chained address is ranked up according to the sequence of priority tag from high to low；
S52, pass through the operation pages of at least one operation pages chained address after output equipment display sequence.
In this embodiment, by being ranked up before step S5 to operation pages link address, so that priority mark
Knowing high operation pages chained address can preferentially be shown in output equipment, be grounded with auxiliary dispatching personnel to operation pages chain
Location is confirmed, confirmation efficiency is improved.
Preferably, in the above-described embodiments, before obtaining the natural language for describing dispatch command and scheduler object,
Further include following steps:
Set the discrimination of natural language and the numerical value of matching degree.
Wherein, at least one operation pages chained address is pushed to output equipment according to matching degree in step s 4, including
Following steps:
When the numerical value of matching degree reaches preset numerical value, corresponding operation pages chained address is pushed to output equipment.
Fig. 3 is referred to, is a kind of structural schematic diagram of scheduling system based on natural language of the embodiment of the present invention 3.
As shown in Figure 3 and Figure 4, which includes: natural language acquisition equipment 1, for obtaining for describing scheduling
The natural language of instruction and scheduler object；Natural language recognition module 2 carries out parsing identification for stating natural language to extract pass
Key word, and keyword is converted into linguistic labels；Feature vocabulary generation module 3, for identifying linguistic labels and linguistic labels
Preset language label in library is matched to generate feature vocabulary；Feature vocabulary be used to indicate linguistic labels and dispatch command or
Corresponding relationship between scheduler object；Feature vocabulary matching module 4, for by the default Feature Words of feature vocabulary and external system
Remittance is matched, and pushes at least one operation pages chained address according to matching degree；Dispatch command generation module 5 is used for
When receiving the confirmation instruction of input, at least one corresponding tune in operation pages chained address is sent to the interface 61 of external system
Degree instruction, so that external system 6 completes scheduling operation.
Below by taking the natural language of acquisition is " opening all fronts contact net scheduling interface " as an example, which is carried out detailed
It describes in detail bright.
In the scheduling system, it includes sound pick-up or microphone that natural language, which acquires equipment 1, when the natural language got
When being " open all fronts contact net scheduling interface ", then natural language recognition module 2 by it with preset keyword language " opening ",
" all fronts ", " contact net ", " scheduling ", " interface " are compared in pairs；When " opening all fronts contact net scheduling interface " and " beat
Open ", " all fronts ", " contact net ", " scheduling ", when the matching degree of single comparison reaches preset discrimination in " interface ", then extract
Corresponding keyword out, and then keyword is converted into linguistic labels.
When linguistic labels are input to feature vocabulary generation module 3, due to prestoring language mark in linguistic labels identification library
The mapping table of label and feature vocabulary, then linguistic labels identification library is provided according to the corresponding relationship of linguistic labels and feature vocabulary
Corresponding feature vocabulary.For example, when the linguistic labels at " opening ", " all fronts ", " contact net ", " scheduling ", " interface " are input to spy
When levying vocabulary generation module 3, linguistic labels identify that library matches above-mentioned linguistic labels and " execute movement-at corresponding feature vocabulary
Opening ", " target-interface ", " particular content-all fronts, contact net ".
Since external system is preset with feature vocabulary and multiple external systems can have identical feature vocabulary, for example, it is " complete
Line contact net operation pages link ", " connection of all fronts electrical power wiring graphic operation page ", " uplink contact net operation pages chain
Connect ", in " link of downlink contact net operation pages " comprising " target-interface ", " particular content-all fronts ", " particular content-
Contact net ", thus feature vocabulary matching module 4 pushes behaviour according to the matching degree of feature vocabulary and the default feature vocabulary of system
Making page link address can be improved the accuracy of push, and then improve dispatching efficiency.
In this embodiment, dispatch command generation module 5 is then true by the input of the input equipments such as keyboard, mouse or touch screen
Recognize instruction, realizes that the transmission to the corresponding dispatch command of operation pages link address operates, it is easy to operate, scheduling people can be reduced
The working strength of member.
Compared with prior art, a kind of scheduling system based on natural language of the invention passes through natural language recognition module
Keyword in natural language is converted to linguistic labels by 2, and feature vocabulary generation module 3 generates Feature Words using linguistic labels
Converge, so feature vocabulary matching module 4 according to the matching degree of feature vocabulary and the default feature vocabulary of external system come to output
Equipment pushes at least one operation pages chained address so that operation pages chained address can according to natural language automatic push,
It can avoid dispatcher's frequent switching page quantity, improve the accuracy of operation pages chained address push, and then improve scheduling
Efficiency；Meanwhile the interface 61 of ability to corresponding external system in the confirmation instruction for receiving input of dispatch command generation module 5
Dispatch command is sent, can further improve the accuracy of scheduling, so that dispatcher only needs to input in entire scheduling process
Confirmation instruction, scheduling operation are simple, moreover it is possible to reduce the working strength of dispatcher.
Further, operation pages chained address is provided with priority tag in the scheduling system；The scheduling system is also wrapped
It includes:
Sequencing unit, for according to priority tag sequence from high to low at least one operation pages chained address into
Row sequence；
Output equipment, for show sequence after described at least one operation pages chained address operation pages.
In this embodiment, operation pages link address is ranked up by sequencing unit, so that priority tag is high
Operation pages chained address can preferentially be shown in output equipment, with auxiliary dispatching personnel to operation pages chained address into
Row confirmation improves confirmation efficiency.
Further, as shown in figure 3, the scheduling system further include: system management module 7, for setting natural language
The numerical value of discrimination and matching degree；
Natural language recognition module 2 includes: comparing unit, for comparing natural language and preset keyword language
It is right；Keyword language is used to indicate the natural language of description keyword, and keyword language and keyword have corresponding relationship；It extracts
Unit, when reaching preset discrimination for the matching degree between natural language and keyword language, according to keyword language
Extract corresponding keyword.
Feature vocabulary matching module 4 includes: push unit, for when the numerical value of matching degree reaches preset numerical value, to
Output equipment pushes corresponding operation pages chained address.
The above described is only a preferred embodiment of the present invention, limitation in any form not is done to the present invention, therefore
All contents without departing from technical solution of the present invention, it is made to the above embodiment according to the technical essence of the invention any simply to repair
Change, equivalent variations and modification, all of which are still within the scope of the technical scheme of the invention.
Claims (10)
1. a kind of dispatching method based on natural language, which comprises the steps of:
Obtain the natural language for describing dispatch command and scheduler object；
The natural language is identified to extract keyword, and the keyword is converted into linguistic labels；
The linguistic labels are matched with the preset language label in linguistic labels identification library to generate feature vocabulary；It is described
Feature vocabulary is used to indicate the corresponding relationship between linguistic labels and dispatch command or scheduler object；
The feature vocabulary is matched with the default feature vocabulary of external system, and is pushed according to matching degree to output equipment
At least one operation pages chained address；
In the confirmation instruction for receiving input, the interface of Xiang Suoshu external system sends at least one operation pages link
The corresponding dispatch command in address, so that the external system completes scheduling operation.
2. dispatching method as described in claim 1, which is characterized in that the operation pages chained address is provided with priority mark
Know；
In the confirmation instruction for receiving input, the interface of Xiang Suoshu external system sends at least one operation pages link
Further include following steps before the corresponding dispatch command in address:
At least one described operation pages chained address is ranked up according to the sequence of priority tag from high to low；
The operation pages of at least one operation pages chained address described in after being sorted by output equipment display.
3. dispatching method as described in claim 1, which is characterized in that obtaining for describing dispatch command and scheduler object
Further include following steps before natural language:
Set the discrimination of the natural language and the numerical value of the matching degree.
4. dispatching method as claimed in claim 3, which is characterized in that described to be identified to the natural language to extract and close
Key word, includes the following steps:
The natural language is compared with preset keyword language；The keyword language is used to indicate description keyword
Natural language, the keyword language and keyword have corresponding relationship；
When matching degree between the natural language and the keyword language reaches preset discrimination, according to the key
Word language extracts corresponding keyword.
5. dispatching method as claimed in claim 3, which is characterized in that described to push at least one to output equipment according to matching degree
A operation pages chained address, includes the following steps:
When the numerical value of the matching degree reaches preset numerical value, corresponding operation pages chained address is pushed to output equipment.
6. a kind of scheduling system based on natural language characterized by comprising
Natural language acquires equipment, for obtaining the natural language for describing dispatch command and scheduler object；
Natural language recognition module, for carrying out parsing identification to the natural language to extract keyword, and by the key
Word is converted to linguistic labels；
Feature vocabulary generation module, for the linguistic labels and linguistic labels to be identified to the preset language label progress in library
It is equipped with and generates feature vocabulary；The feature vocabulary is used to indicate the corresponding pass between linguistic labels and dispatch command or scheduler object
System；
Feature vocabulary matching module for matching the feature vocabulary with the default feature vocabulary of external system, and is pressed
At least one operation pages chained address is pushed according to matching degree；
Dispatch command generation module, in the confirmation instruction for receiving input, the interface of Xiang Suoshu external system to send institute
At least one corresponding dispatch command in operation pages chained address is stated, so that the external system completes scheduling operation.
7. scheduling system as claimed in claim 6, which is characterized in that the operation pages chained address is provided with priority mark
Know；
The scheduling system further include:
Sequencing unit, for according to priority tag sequence from high to low at least one described operation pages chained address into
Row sequence；
Output equipment, for show sequence after described at least one operation pages chained address operation pages.
8. scheduling system as claimed in claim 6, which is characterized in that further include:
System management module, for setting the discrimination of the natural language and the numerical value of the matching degree.
9. scheduling system as claimed in claim 6, which is characterized in that the natural language recognition module includes:
Comparing unit, for the natural language to be compared with preset keyword language；The keyword language is used for
Indicate that the natural language of description keyword, the keyword language and keyword have corresponding relationship；
Extraction unit reaches preset discrimination for the matching degree between the natural language and the keyword language
When, corresponding keyword is extracted according to the keyword language.
10. dispatching method as claimed in claim 6, which is characterized in that the feature vocabulary matching module includes:
Push unit, for pushing corresponding operation to output equipment when the numerical value of the matching degree reaches preset numerical value
Page link address.
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| US20180115644A1 (en) * | 2016-10-25 | 2018-04-26 | Ali Hassan Al-Khaja | System and method for switching from a call on a voice communication channel to web based self-services |
| CN108364644A (en) * | 2018-01-17 | 2018-08-03 | 深圳市金立通信设备有限公司 | A kind of voice interactive method, terminal and computer-readable medium |
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| CN101513886A (en) * | 2008-12-29 | 2009-08-26 | 卡斯柯信号有限公司 | Subway train running monitoring system based on a vector electronic map |
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| US20180115644A1 (en) * | 2016-10-25 | 2018-04-26 | Ali Hassan Al-Khaja | System and method for switching from a call on a voice communication channel to web based self-services |
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Application publication date: 20190628 |