CN110070331A - Enterprises service air navigation aid, device and computer equipment - Google Patents

Enterprises service air navigation aid, device and computer equipment Download PDF

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Publication number
CN110070331A
CN110070331A CN201910186484.6A CN201910186484A CN110070331A CN 110070331 A CN110070331 A CN 110070331A CN 201910186484 A CN201910186484 A CN 201910186484A CN 110070331 A CN110070331 A CN 110070331A
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service procedure
service
feature vector
mentioned
navigation requests
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丰惠
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OneConnect Smart Technology Co Ltd
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OneConnect Smart Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/103Workflow collaboration or project management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/24Aligning, centring, orientation detection or correction of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/28Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/30Noise filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/148Segmentation of character regions
    • G06V30/153Segmentation of character regions using recognition of characters or words

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Abstract

The embodiment of the present application provides a kind of enterprises service air navigation aid, device and computer equipment applied to artificial intelligence field.In enterprises service air navigation aid provided by the embodiments of the present application, after navigation requests signal of the acquisition from mobile terminal, above-mentioned navigation requests signal is identified again, obtain the corresponding target text of above-mentioned navigation requests signal, and each character in above-mentioned target text is converted into feature vector, to obtain the feature vector for the service procedure for including in the associated service procedure library of Cloud Server, then the service procedure that feature vector and the feature vector of above-mentioned each character conversion in service procedure have maximum similarity is obtained again, it finally calls and executes the above-mentioned service procedure with maximum similarity, the enterprises service of automation thus may be implemented, meet the various enterprises service demands of user, realize the novel office mode of enterprise.

Description

Enterprises service air navigation aid, device and computer equipment
Technical field
This application involves field of artificial intelligence more particularly to a kind of enterprises service air navigation aids, device and computer Equipment.
Background technique
With the high speed development of economic society and gradually expanding for medium-sized and small enterprises scale, intelligence has become the new century Completely new life style.In today that social informatization rapidly strides forward, traditional office system also has increasing need for being transformed.
Meanwhile the rising of human cost also promotes more and more enterprises to start the office mould using high efficiency, low cost Formula, and existing office administration mode has that management cost is expensive, lacks individual creativity, so as to cause office efficiency Lowly.
Summary of the invention
The embodiment of the present application provides a kind of enterprises service air navigation aid, device and computer equipment, may be implemented to automate Enterprises service, meet the various enterprises service demands of user, realize the novel office mode of enterprise.
In a first aspect, the embodiment of the present application provides a kind of enterprises service air navigation aid, comprising:
Obtain the navigation requests signal from mobile terminal;
The navigation requests signal is identified, the corresponding target text of the navigation requests signal is obtained;
Each character in the target text is converted into feature vector, and obtains the associated service procedure of Cloud Server The feature vector for the service procedure for including in library;
The feature vector of the feature vector and the service procedure of each character conversion is compared, described in acquisition Feature vector and the feature vector of each character conversion have the service procedure of maximum similarity in service procedure;
It calls and executes the service procedure with maximum similarity.
Wherein in one possible implementation, described to call and execute the service procedure with maximum similarity Before, further includes:
Obtain the subscriber identity information for inputting the navigation requests signal;And
Judge whether the subscriber identity information has the permission for calling the service procedure with maximum similarity;
When the subscriber identity information is with the permission for calling the service procedure with maximum similarity, institute is executed Stating described in calling and execution has the step of service procedure of maximum similarity.
Wherein in one possible implementation, described to obtain the subscriber identity information for inputting the navigation requests signal Include:
Obtain the facial image for inputting the user of the navigation requests signal;
The facial image is identified, the identity information of the user is obtained.
Wherein in one possible implementation, the feature vector and the service by each character conversion The feature vector of process compares, and obtains the feature vector of feature vector and each character conversion in the service procedure Service procedure with maximum similarity includes:
Calculate the feature of each service procedure in the feature vector and the multiple service procedure of each character conversion Similarity between vector;
The multiple service procedure is ranked up according to the descending sequence of the similarity;
The service procedure to make number one in service procedure after obtaining sequence.
Wherein in one possible implementation, described to obtain the clothes for including in the associated service procedure library of Cloud Server Before the feature vector for process of being engaged in, further includes:
Service procedure library is obtained, includes multiple service procedures with voice request Signal Matching in the service procedure library;
Obtain the associated database of Cloud Server;
The service procedure library is added in the database.
Wherein in one possible implementation, the navigation requests signal includes voice request signal;
It is described that the navigation requests signal is identified, obtain the corresponding target text packet of the navigation requests signal It includes:
Speech recognition is carried out to the voice request signal, obtains the corresponding target text of the voice request signal.
Wherein in one possible implementation, the navigation requests signal includes image request signal;
It is described that the navigation requests signal is identified, obtain the corresponding target text packet of the navigation requests signal It includes:
Optical character identification is carried out to described image request signal, obtains the target text in described image request signal.
Second aspect, the embodiment of the present application also provides a kind of enterprises service navigation devices, comprising:
Module is obtained, for obtaining the navigation requests signal from mobile terminal;
Identification module, the navigation requests signal for obtaining to the acquisition module identifies, leads described in acquisition Navigate the corresponding target text of request signal;
Conversion module, each character in the target text for obtaining identification module identification are converted to spy Vector is levied, and obtains the feature vector for the service procedure for including in the associated service procedure library of Cloud Server;
Contrast module, the feature vector and the service procedure of each character for obtaining conversion module conversion Feature vector compare, the feature vector for obtaining feature vector in the service procedure and each character conversion has The service procedure of maximum similarity;
Execution module, for call and execute obtain after contrast module comparison described in the clothes with maximum similarity Business process.
The third aspect the embodiment of the present application also provides a kind of computer equipment, including memory, processor and is stored in On the memory and the computer program that can run on the processor, the processor execute the computer program When, realize above-mentioned enterprises service air navigation aid.
Fourth aspect, the embodiment of the present application also provides a kind of non-transitorycomputer readable storage mediums, store thereon There is computer program, the computer program realizes above-mentioned enterprises service air navigation aid when being executed by processor.
In above technical scheme, obtains the navigation requests signal from mobile terminal and then above-mentioned navigation requests are believed It number is identified, obtains the corresponding target text of above-mentioned navigation requests signal, and each character in above-mentioned target text is turned It is changed to feature vector, to obtain the feature vector for the service procedure for including in the associated service procedure library of Cloud Server, then again The service procedure that feature vector and the feature vector of above-mentioned each character conversion in service procedure have maximum similarity is obtained, most The above-mentioned service procedure with maximum similarity is called and executed afterwards, the enterprises service of automation thus may be implemented, and is met The various enterprises service demands of user, realize the novel office mode of enterprise.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this Shen Some embodiments please for those of ordinary skill in the art without any creative labor, can be with It obtains other drawings based on these drawings.
Fig. 1 is the flow chart of one embodiment of the application enterprises service air navigation aid;
Fig. 2 is the flow chart of another embodiment of the application enterprises service air navigation aid;
Fig. 3 is the flow chart of the further embodiment of the application enterprises service air navigation aid;
Fig. 4 is the flow chart of the further embodiment of the application enterprises service air navigation aid;
Fig. 5 is the attachment structure schematic diagram of one embodiment of the application enterprises service navigation device;
Fig. 6 is the attachment structure schematic diagram of another embodiment of the application enterprises service navigation device;
Fig. 7 is the attachment structure schematic diagram of the further embodiment of the application enterprises service navigation device;
Fig. 8 is the structural schematic diagram of the application computer equipment one embodiment.
Specific embodiment
In order to better understand the technical solution of the application, the embodiment of the present application is retouched in detail with reference to the accompanying drawing It states.
It will be appreciated that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.Base Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts it is all its His embodiment, shall fall in the protection scope of this application.
The term used in the embodiment of the present application is only to be not intended to be limiting merely for for the purpose of describing particular embodiments The application.In the embodiment of the present application and the "an" of singular used in the attached claims, " described " and "the" It is also intended to including most forms, unless the context clearly indicates other meaning.
Fig. 1 is the flow chart of one embodiment of the application enterprises service air navigation aid, as shown in Figure 1, the above method can To include:
Step 101: obtaining the navigation requests signal from mobile terminal.
Specifically, mobile terminal is also referred to as mobile communication terminal, refer to the computer equipment that can be used on the move, In the embodiment of the present application, above-mentioned mobile terminal can be mobile phone, smart phone or tablet computer with a variety of application functions Deng, the present embodiment is not construed as limiting this, and above-mentioned navigation requests signal includes voice request signal and image request signal, wherein on Predicate sound request signal can be one section of acoustic information that user requests enterprises service, and image request signal can be user's request One picture of enterprises service.
Step 102: above-mentioned navigation requests signal being identified, the corresponding target text of above-mentioned navigation requests signal is obtained This.
As mentioned previously, since navigation requests signal can be voice request signal, or image request signal. Therefore, when above-mentioned navigation requests signal is voice request signal, above-mentioned steps 102 may include: to believe above-mentioned voice request Number carry out speech recognition, obtain the corresponding target text of above-mentioned voice request signal.Wherein, to above-mentioned voice request signal into During row speech recognition, nowadays widely used natural language processing (Natural Language can be used Processing;Hereinafter referred to as: NLP) technology, above-mentioned NLP technology reads aloud in text, speech synthesis, spatial term and It has been widely used in the fields such as speech recognition.
And when above-mentioned navigation requests signal is image request signal, above-mentioned steps 102 may include: to ask to above-mentioned image It asks signal to be identified, obtains the target text in above-mentioned image request signal.Wherein, the application can be by asking above-mentioned image Signal is asked to carry out optical character identification (Optical Character Recognition;Hereinafter referred to as: OCR), above-mentioned figure is obtained As the target text in request signal.
OCR is carried out to above-mentioned image request signal below, obtains the process of the target text in above-mentioned image request signal It is introduced:
Firstly, pre-processing to above-mentioned image request signal, pretreatment specifically includes that binaryzation, noise remove and inclines Oblique calibration etc..Wherein, binaryzation is divided to the content of above-mentioned image request signal, is divided into foreground information and background is believed Breath, can simply define foreground information is black, and background information is white, and here it is binary pictures;Noise remove is root Above-mentioned image request signal is denoised according to the feature of noise;Inclination relatively exactly carries out the direction of above-mentioned image request signal Correction, avoids the image of above-mentioned image request signal from tilting.
Then, printed page analysis carried out to the image of above-mentioned image request signal, that is, by above-mentioned image request signal Image is paragraphed and/or the process of branch.
Next, the image to above-mentioned image request signal carries out Character segmentation, then the character after cutting is known Not, space of a whole page recovery finally is carried out to the target text that identification obtains, according to the relationship of specific Linguistic context, identification is obtained Target text be corrected.
Step 103: each character in above-mentioned target text being converted into feature vector, and it is associated to obtain Cloud Server The feature vector for the service procedure for including in service procedure library.
Furthermore, the application by by each character in above-mentioned target text and multiple service procedures carry out from Type characteristic processing is dissipated, to obtain the corresponding feature vector of each character, specifically, the application takes solely hot (One-Hot) coding Mode carry out the discrete type characteristic processing of character.
Wherein, above-mentioned Cloud Server be it is a kind of be simple and efficient, securely and reliably, processing capacity can elastic telescopic calculating clothes Business, the embodiment of the present application use the associated service procedure library of Cloud Server, ensure that the safety of calling, also meet user with When the demand called everywhere, provide convenience for user.Meanwhile there are three types of service modes for above-mentioned Cloud Server tool, and correspondence mentions For three kinds of different services, specifically, above-mentioned service mode includes: infrastructure (Infrastructure-as-a- Service, hereinafter referred to as: IaaS), platform (Platform-as-a-Service, hereinafter referred to as: PaaS) and software (Software-as-a-Service, hereinafter referred to as: SaaS), the effect of IaaS are to provide virtual machine or other resource conducts Service is supplied to user, and the effect of PaaS is to be supplied to user for a development platform as service, and the effect of SaaS is will to answer The service of being used as is supplied to user, therefore in the calling process of above-mentioned steps 103, service procedure can be mentioned using SaaS mode Supply user.
In practical applications, above-mentioned multiple service procedures include but is not limited to counseling services, recommendation service, examination & approval service, Scheduling meeting service and schedule service etc., the embodiment of the present application are not intended to be limited in any the type of above-mentioned service procedure, And multiple service procedures can be stored in service procedure library according to actual needs.
Step 104: the feature vector of the feature vector and above-mentioned service procedure of above-mentioned each character conversion is compared, Obtain the service flow that feature vector and the feature vector of above-mentioned each character conversion in above-mentioned service procedure have maximum similarity Journey.
Step 105: calling and execute the above-mentioned service procedure with maximum similarity.
In above-mentioned enterprises service air navigation aid, obtains the navigation requests signal from mobile terminal and then led to above-mentioned Boat request signal is identified, obtains the corresponding target text of above-mentioned navigation requests signal, and will be every in above-mentioned target text A character is converted to feature vector, with obtain the feature of the service procedure for including in the associated service procedure library of Cloud Server to Then amount obtains the clothes that feature vector and the feature vector of above-mentioned each character conversion in service procedure have maximum similarity again Business process, finally calls and executes the above-mentioned service procedure with maximum similarity, and the enterprise of automation thus may be implemented Service, meets the various enterprises service demands of user, realizes the novel office mode of enterprise.
Fig. 2 is the flow chart of another embodiment of the application enterprises service air navigation aid, as shown in Fig. 2, the application Fig. 1 In illustrated embodiment, before step 105, can also include:
Step 201: obtaining the subscriber identity information for inputting above-mentioned navigation requests signal.
Furthermore, above-mentioned subscriber identity information may include the facial image for inputting the user of navigation requests signal. In this way, the application can obtain above-mentioned subscriber identity information by identifying to above-mentioned facial image.
In specific implementation, the present embodiment can carry out above-mentioned facial image by neural network model trained in advance Identification.Specifically, the facial image that predetermined quantity can be collected, after being pre-processed to above-mentioned facial image, after pretreatment Facial image be labeled, the facial image after mark is divided into training set and test set.By the facial image in training set It inputs neural network model to be trained to be trained, obtains training result model, it is then that the facial image in test set is defeated Enter training result model and carry out recursive training, when the facial image in the training result and test set of training result model output The error of markup information within a predetermined range when, obtain trained neural network model.Then, so that it may by trained Neural network model identifies above-mentioned facial image, obtains above-mentioned subscriber identity information.
Wherein, the size of above-mentioned predetermined quantity can in specific implementation according to system performance and/or realization demand etc. from Row setting, the present embodiment are not construed as limiting the size of above-mentioned predetermined quantity;Above-mentioned preset range can also root in specific implementation According to the sets itselfs such as system performance and/or realization demand, the present embodiment is not construed as limiting above-mentioned preset range.
In the present embodiment, above-mentioned neural network model can use deep neural network model or convolutional neural networks mould Type, the present embodiment are not construed as limiting the concrete form of above-mentioned neural network model.
Step 202: judging whether above-mentioned subscriber identity information has and call the above-mentioned service procedure with maximum similarity Permission.
Step 203: when above-mentioned subscriber identity information is with the permission for calling the above-mentioned service procedure with maximum similarity When, execute step 105.
In this way, can be authenticated to the user identity of input navigation requests signal, by step 201~203 to the use Family is checked using the legitimacy and validity (whether state is activation) of navigation service.
Fig. 3 is the flow chart of the further embodiment of the application enterprises service air navigation aid, as shown in figure 3, the application Fig. 1 In illustrated embodiment, step 104 may include:
Step 301: calculating each service flow in the feature vector and above-mentioned multiple service procedures of above-mentioned each character conversion Similarity between the feature vector of journey.
Wherein, the application takes feature vector and above-mentioned multiple clothes of the cosine similarity algorithm to above-mentioned each character conversion The feature vector of business process compares.Above-mentioned cosine similarity, also known as cosine similarity are by calculating two vectors Included angle cosine value assesses their similarity.Specific formula for calculation is as follows:
In above-mentioned formula (1),Indicate the feature vector of above-mentioned each character conversion,Indicate the spy of each service procedure Vector is levied, cos θ value is bigger, indicates that feature vector and the feature vector of above-mentioned each character conversion have higher in service procedure Similarity.
Step 302: the multiple service procedure being ranked up according to the descending sequence of above-mentioned similarity.
Step 303: the service procedure to make number one in the service procedure after obtaining sequence.
Fig. 4 is the flow chart of the further embodiment of the application enterprises service air navigation aid, as shown in figure 4, the application Fig. 1 In illustrated embodiment, before step 103, can also include:
Step 401: obtaining service procedure library, include multiple clothes with navigation requests Signal Matching in above-mentioned service procedure library Business process.
Equally, above-mentioned multiple service procedures include but is not limited to counseling services, recommendation service, examination & approval service, scheduling meeting Service and schedule service etc., the embodiment of the present application is not intended to be limited in any the type of above-mentioned service procedure, and can basis Corresponding service procedure is added in actual demand in service procedure library.
Step 402: obtaining the associated database of Cloud Server.
Step 403: above-mentioned service procedure library is added in above-mentioned database.
Specifically, the embodiment of the present application needs to carry out as described in step 402 first when adding above-mentioned service procedure The step of obtaining Cloud Server associated database, is then added again, in practical applications, adds in above-mentioned steps 403 The process in service procedure library can be with are as follows:
Firstly, right button is needed to click service procedure file, above-mentioned multiple service flows secondly are generated after selection task-generation script The corresponding script file of journey is simultaneously exported, and Cloud Server is then logged in, and above-mentioned derived file is directly finally dragged in blank Complete the adding procedure in above-mentioned service procedure library in place.
Fig. 5 is the attachment structure schematic diagram of one embodiment of the application enterprises service navigation device, as shown in figure 5, on Stating device may include:
Module 051 is obtained, for obtaining the navigation requests signal from mobile terminal.
Specifically, mobile terminal is also referred to as mobile communication terminal, refer to the computer equipment that can be used on the move, In the embodiment of the present application, above-mentioned mobile terminal can be mobile phone, smart phone or tablet computer with a variety of application functions Deng, the present embodiment is not construed as limiting this, and above-mentioned navigation requests signal includes voice request signal and image request signal, wherein on Predicate sound request signal can be one section of acoustic information that user requests enterprises service, and image request signal can be user's request One picture of enterprises service.
Identification module 052, the navigation requests signal for obtaining to the acquisition module 051 identifies, obtains The corresponding target text of the navigation requests signal.
As mentioned previously, since navigation requests signal can be voice request signal, or image request signal. Therefore, when above-mentioned navigation requests signal is voice request signal, above-mentioned identification module 052 may include voice recognition unit: Speech recognition is carried out to above-mentioned voice request signal, obtains the corresponding target text of above-mentioned voice request signal.Wherein, to upper During predicate sound request signal carries out speech recognition, nowadays widely used natural language processing can be used (Natural Language Processing;Hereinafter referred to as: NLP) technology, above-mentioned NLP technology is read aloud in text, voice closes At being widely used in the fields such as, spatial term and speech recognition.
And when above-mentioned navigation requests signal is image request signal, above-mentioned identification module 052 may include image recognition Unit: above-mentioned image identification unit obtains in above-mentioned image request signal for identifying to above-mentioned image request signal Target text.Wherein, the application can be by carrying out optical character identification (Optical to above-mentioned image request signal Character Recognition;Hereinafter referred to as: OCR), the target text in above-mentioned image request signal is obtained.
OCR is carried out to above-mentioned image request signal below, obtains the process of the target text in above-mentioned image request signal It is introduced:
Firstly, pre-processing to above-mentioned image request signal, pretreatment specifically includes that binaryzation, noise remove and inclines Oblique calibration etc..Wherein, binaryzation is divided to the content of above-mentioned image request signal, is divided into foreground information and background is believed Breath, can simply define foreground information is black, and background information is white, and here it is binary pictures;Noise remove is root Above-mentioned image request signal is denoised according to the feature of noise;Inclination relatively exactly carries out the direction of above-mentioned image request signal Correction, avoids the image of above-mentioned image request signal from tilting.
Then, printed page analysis carried out to the image of above-mentioned image request signal, that is, by above-mentioned image request signal Image is paragraphed and/or the process of branch.
Next, the image to above-mentioned image request signal carries out Character segmentation, then the character after cutting is known Not, space of a whole page recovery finally is carried out to the target text that identification obtains, according to the relationship of specific Linguistic context, identification is obtained Target text be corrected.
Conversion module 053, each character in the target text for obtaining the identification module 052 identification turn It is changed to feature vector, and obtains the feature vector for the service procedure for including in the associated service procedure library of Cloud Server.
Furthermore, the application by by each character in above-mentioned target text and multiple service procedures carry out from Type characteristic processing is dissipated, to obtain the corresponding feature vector of each character, specifically, the application takes solely hot (One-Hot) coding Mode carry out the discrete type characteristic processing of character.
Wherein, above-mentioned Cloud Server be it is a kind of be simple and efficient, securely and reliably, processing capacity can elastic telescopic calculating clothes Business, the embodiment of the present application use the associated service procedure library of Cloud Server, ensure that the safety of calling, also meet user with When the demand called everywhere, provide convenience for user.Meanwhile there are three types of service modes for above-mentioned Cloud Server tool, and correspondence mentions For three kinds of different services, specifically, above-mentioned service mode includes: infrastructure (Infrastructure-as-a- Service, hereinafter referred to as: IaaS), platform (Platform-as-a-Service, hereinafter referred to as: PaaS) and software (Software-as-a-Service, hereinafter referred to as: SaaS), the effect of IaaS are to provide virtual machine or other resource conducts Service is supplied to user, and the effect of PaaS is to be supplied to user for a development platform as service, and the effect of SaaS is will to answer The service of being used as is supplied to user, therefore obtains in the associated service procedure library of Cloud Server in above-mentioned conversion module 053, can adopt Service procedure is supplied to user with SaaS mode.
In practical applications, above-mentioned multiple service procedures include but is not limited to counseling services, recommendation service, examination & approval service, Scheduling meeting service and schedule service etc., the embodiment of the present application are not intended to be limited in any the type of above-mentioned service procedure, And multiple service procedures can be stored in service procedure library according to actual needs.
Contrast module 054, the feature vector of each character for obtaining the conversion module 053 conversion and the clothes The feature vector of business process compares, obtain the feature of feature vector in the service procedure and each character conversion to Measurer has the service procedure of maximum similarity;
Execution module 055, for call and execute obtained after the contrast module 054 compares described in have it is maximum similar The service procedure of degree.
In above-mentioned enterprises service navigation device, after obtaining navigation requests signal of the acquisition of module 051 from mobile terminal, Above-mentioned navigation requests signal is identified by identification module 052 again, obtains the corresponding target text of above-mentioned navigation requests signal This, and each character in above-mentioned target text is converted to by feature vector by conversion module 053, to obtain Cloud Server pass Then the feature vector for the service procedure for including in the service procedure library of connection is obtained in service procedure by contrast module 054 again Feature vector and the feature vector of above-mentioned each character conversion have the service procedure of maximum similarity, finally by execution module 055 calls and executes the above-mentioned service procedure with maximum similarity, and the enterprises service of automation thus may be implemented, and meets The various enterprises service demands of user, realize the novel office mode of enterprise.
Fig. 6 is the attachment structure schematic diagram of another embodiment of the application enterprises service navigation device, as shown in fig. 6, Device in the application embodiment illustrated in fig. 5 can also include:
Judgment module 061, the user identity letter of the navigation requests signal for judging acquisition module 051 acquisition Whether breath is with the permission for calling the service procedure with maximum similarity.
Furthermore, above-mentioned subscriber identity information may include the facial image for inputting the user of navigation requests signal. In this way, the application can obtain above-mentioned subscriber identity information by identifying to above-mentioned facial image.
In specific implementation, the present embodiment can carry out above-mentioned facial image by neural network model trained in advance Identification.Specifically, the facial image that predetermined quantity can be collected, after being pre-processed to above-mentioned facial image, after pretreatment Facial image be labeled, the facial image after mark is divided into training set and test set.By the facial image in training set It inputs neural network model to be trained to be trained, obtains training result model, it is then that the facial image in test set is defeated Enter training result model and carry out recursive training, when the facial image in the training result and test set of training result model output The error of markup information within a predetermined range when, obtain trained neural network model.Then, so that it may by trained Neural network model identifies above-mentioned facial image, obtains above-mentioned subscriber identity information.
Wherein, the size of above-mentioned predetermined quantity can in specific implementation according to system performance and/or realization demand etc. from Row setting, the present embodiment are not construed as limiting the size of above-mentioned predetermined quantity;Above-mentioned preset range can also root in specific implementation According to the sets itselfs such as system performance and/or realization demand, the present embodiment is not construed as limiting above-mentioned preset range.
In the present embodiment, above-mentioned neural network model can use deep neural network model or convolutional neural networks mould Type, the present embodiment are not construed as limiting the concrete form of above-mentioned neural network model.
The execution module 055 is specifically used for described having maximum similarity when the subscriber identity information has to call When the permission of service procedure, executing the calling and executing described has the step of service procedure of maximum similarity.
In this way, can authenticate to the user identity of input navigation requests signal, navigation service is used to the user Legitimacy and validity (whether state is activation) are checked.
Fig. 7 is the attachment structure schematic diagram of the further embodiment of the application enterprises service navigation device, as shown in fig. 7, Device contrast module 054 in the application embodiment illustrated in fig. 5 may include:
Computing unit 0541, it is every in the feature vector and the multiple service procedure that each character is converted for calculating Similarity between the feature vector of a service procedure.
Wherein, the application takes feature vector and above-mentioned multiple clothes of the cosine similarity algorithm to above-mentioned each character conversion The feature vector of business process compares.Above-mentioned cosine similarity, also known as cosine similarity are by calculating two vectors Included angle cosine value assesses their similarity.Specific formula for calculation is as follows:
In above-mentioned formula (1),Indicate the feature vector of above-mentioned each character conversion,Indicate the spy of each service procedure Vector is levied, cos θ value is bigger, indicates that feature vector and the feature vector of above-mentioned each character conversion have higher in service procedure Similarity.
Sequencing unit 0542, for the sequence that the similarity of the computing unit 0541 calculating acquisition is descending The multiple service procedure is ranked up, and obtains the service procedure to make number one in the service procedure after sequence.
Again refering to Figure 1, above-mentioned acquisition module 051 is specifically used for obtaining service procedure library, the service procedure library In include multiple service procedures with voice request Signal Matching, and obtain the associated database of Cloud Server;And
The service procedure library is added in the database.
Equally, above-mentioned multiple service procedures include but is not limited to counseling services, recommendation service, examination & approval service, scheduling meeting Service and schedule service etc., the embodiment of the present application is not intended to be limited in any the type of above-mentioned service procedure, and can basis Corresponding service procedure is added in actual demand in service procedure library.
Specifically, the embodiment of the present application needs obtain Cloud Server association first when adding above-mentioned service procedure Database the step of, be then added again, in practical applications, the process in above-mentioned addition service procedure library can be with are as follows:
Firstly, right button is needed to click service procedure file, above-mentioned multiple service flows secondly are generated after selection task-generation script The corresponding script file of journey is simultaneously exported, and Cloud Server is then logged in, and above-mentioned derived file is directly finally dragged in blank Complete the adding procedure in above-mentioned service procedure library in place.
Fig. 8 is the structural schematic diagram of the application computer equipment one embodiment, and above-mentioned computer equipment may include depositing Reservoir, processor and it is stored in the computer program that can be run on above-mentioned memory and on above-mentioned processor, above-mentioned processor When executing above-mentioned computer program, enterprises service air navigation aid provided by the embodiments of the present application may be implemented.
Wherein, above-mentioned computer equipment can be server, such as: Cloud Server or above-mentioned computer equipment can also Think electronic equipment, such as: smart phone, smartwatch, personal computer (Personal Computer;Hereinafter referred to as: PC), the smart machines such as laptop or tablet computer, the present embodiment do not limit the specific form of above-mentioned computer equipment It is fixed.
Fig. 8 shows the block diagram for being suitable for the exemplary computer device 52 for being used to realize the application embodiment.Fig. 8 is shown Computer equipment 52 be only an example, should not function to the embodiment of the present application and use scope bring any restrictions.
As shown in figure 8, computer equipment 52 is showed in the form of universal computing device.The component of computer equipment 52 can be with Including but not limited to: one or more processor or processing unit 56, system storage 78 connect different system components The bus 58 of (including system storage 78 and processing unit 56).
Bus 58 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller, Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts For example, these architectures include but is not limited to industry standard architecture (Industry Standard Architecture;Hereinafter referred to as: ISA) bus, microchannel architecture (Micro Channel Architecture;Below Referred to as: MAC) bus, enhanced isa bus, Video Electronics Standards Association (Video Electronics Standards Association;Hereinafter referred to as: VESA) local bus and peripheral component interconnection (Peripheral Component Interconnection;Hereinafter referred to as: PCI) bus.
Computer equipment 52 typically comprises a variety of computer system readable media.These media can be it is any can be by The usable medium that computer equipment 52 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 78 may include the computer system readable media of form of volatile memory, such as arbitrary access Memory (Random Access Memory;Hereinafter referred to as: RAM) 70 and/or cache memory 72.Computer equipment 52 It may further include other removable/nonremovable, volatile/non-volatile computer system storage mediums.Only conduct Citing, storage system 74 can be used for reading and writing immovable, non-volatile magnetic media, and (Fig. 8 do not show, commonly referred to as " hard disk Driver ").Although being not shown in Fig. 8, the magnetic for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided Disk drive, and to removable anonvolatile optical disk (such as: compact disc read-only memory (Compact Disc Read Only Memory;Hereinafter referred to as: CD-ROM), digital multi CD-ROM (Digital Video Disc Read Only Memory;Hereinafter referred to as: DVD-ROM) or other optical mediums) read-write CD drive.In these cases, each driving Device can be connected by one or more data media interfaces with bus 58.Memory 78 may include that at least one program produces Product, the program product have one group of (for example, at least one) program module, and it is each that these program modules are configured to perform the application The function of embodiment.
Program/utility 80 with one group of (at least one) program module 82 can store in such as memory 78 In, such program module 82 includes --- but being not limited to --- operating system, one or more application program, other programs It may include the realization of network environment in module and program data, each of these examples or certain combination.Program mould Block 82 usually executes function and/or method in embodiments described herein.
Computer equipment 52 can also be with one or more external equipments 54 (such as keyboard, sensing equipment, display 64 Deng) communication, can also be enabled a user to one or more equipment interact with the computer equipment 52 communicate, and/or with make The computer equipment 52 any equipment (such as network interface card, the modulatedemodulate that can be communicated with one or more of the other calculating equipment Adjust device etc.) communication.This communication can be carried out by input/output (I/O) interface 62.Also, computer equipment 52 may be used also To pass through network adapter 60 and one or more network (such as local area network (Local Area Network;Hereinafter referred to as: LAN), wide area network (Wide Area Network;Hereinafter referred to as: WAN) and/or public network, for example, internet) communication.Such as figure Shown in 8, network adapter 60 is communicated by bus 58 with other modules of computer equipment 52.Although should be understood that in Fig. 8 not It shows, other hardware and/or software module can be used in conjunction with computer equipment 52, including but not limited to: microcode, equipment are driven Dynamic device, redundant processing unit, external disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 56 by the program that is stored in system storage 78 of operation, thereby executing various function application and Data processing, such as realize enterprises service air navigation aid provided by the embodiments of the present application.
The embodiment of the present application also provides a kind of non-transitorycomputer readable storage medium, is stored thereon with computer journey Enterprises service air navigation aid provided by the embodiments of the present application may be implemented in sequence, above-mentioned computer program when being executed by processor.
Above-mentioned non-transitorycomputer readable storage medium can appointing using one or more computer-readable media Meaning combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.Computer can Reading storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device Or device, or any above combination.The more specific example (non exhaustive list) of computer readable storage medium includes: Electrical connection, portable computer diskette, hard disk, random access memory (RAM), read-only storage with one or more conducting wires Device (Read Only Memory;Hereinafter referred to as: ROM), erasable programmable read only memory (Erasable Programmable Read Only Memory;Hereinafter referred to as: EPROM) or flash memory, optical fiber, portable compact disc are read-only deposits Reservoir (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer Readable storage medium storing program for executing can be any tangible medium for including or store program, which can be commanded execution system, device Either device use or in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be Any computer-readable medium other than computer readable storage medium, which can send, propagate or Transmission is for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited In --- wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Can with one or more programming languages or combinations thereof come write for execute the application operation computer Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++, It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.? It is related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (Local Area Network;Hereinafter referred to as: LAN) or wide area network (Wide Area Network;Hereinafter referred to as: WAN) it is connected to user Computer, or, it may be connected to outer computer (such as being connected using ISP by internet).
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example Point is contained at least one embodiment or example of the application.In the present specification, schematic expression of the above terms are not It must be directed to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be in office It can be combined in any suitable manner in one or more embodiment or examples.In addition, without conflicting with each other, the skill of this field Art personnel can tie the feature of different embodiments or examples described in this specification and different embodiments or examples It closes and combines.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or Implicitly include at least one this feature.In the description of the present application, the meaning of " plurality " is at least two, such as two, three It is a etc., unless otherwise specifically defined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes It is one or more for realizing custom logic function or process the step of executable instruction code module, segment or portion Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discussed suitable Sequence, including according to related function by it is basic simultaneously in the way of or in the opposite order, Lai Zhihang function, this should be by the application Embodiment person of ordinary skill in the field understood.
Depending on context, word as used in this " if " can be construed to " ... when " or " when ... When " or " in response to determination " or " in response to detection ".Similarly, depend on context, phrase " if it is determined that " or " if detection (condition or event of statement) " can be construed to " when determining " or " in response to determination " or " when the detection (condition of statement Or event) when " or " in response to detection (condition or event of statement) ".
It should be noted that terminal involved in the embodiment of the present application can include but is not limited to personal computer (Personal Computer;Hereinafter referred to as: PC), personal digital assistant (Personal Digital Assistant;Below Referred to as: PDA), radio hand-held equipment, tablet computer (Tablet Computer), mobile phone, MP3 player, MP4 player etc..
In several embodiments provided herein, it should be understood that disclosed systems, devices and methods, it can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit It divides, only a kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or group Part can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown Or the mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, device or unit it is indirect Coupling or communication connection can be electrical property, mechanical or other forms.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit being realized in the form of SFU software functional unit can store and computer-readable deposit at one In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are used so that a computer It is each that device (can be personal computer, server or network equipment etc.) or processor (Processor) execute the application The part steps of embodiment the method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (Read- Only Memory;Hereinafter referred to as: ROM), random access memory (Random Access Memory;Hereinafter referred to as: RAM), The various media that can store program code such as magnetic or disk.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.

Claims (10)

1. a kind of enterprises service air navigation aid, which is characterized in that the described method includes:
Obtain the navigation requests signal from mobile terminal;
The navigation requests signal is identified, the corresponding target text of the navigation requests signal is obtained;
Each character in the target text is converted into feature vector, and is obtained in the associated service procedure library of Cloud Server Including service procedure feature vector;
The feature vector of the feature vector and the service procedure of each character conversion is compared, the service is obtained Feature vector and the feature vector of each character conversion have the service procedure of maximum similarity in process;
It calls and executes the service procedure with maximum similarity.
2. the method according to claim 1, wherein described call and execute the clothes with maximum similarity Before process of being engaged in, further includes:
Obtain the subscriber identity information for inputting the navigation requests signal;And
Judge whether the subscriber identity information has the permission for calling the service procedure with maximum similarity;
When the subscriber identity information is with the permission for calling the service procedure with maximum similarity, the tune is executed With and execute and described there is the step of service procedure of maximum similarity.
3. according to the method described in claim 2, it is characterized in that, described obtain the user's body for inputting the navigation requests signal Part information includes:
Obtain the facial image for inputting the user of the navigation requests signal;
The facial image is identified, the identity information of the user is obtained.
4. the method according to claim 1, wherein described by the feature vector of each character conversion and institute The feature vector for stating service procedure compares, and obtains the spy of feature vector and each character conversion in the service procedure Levying service procedure of the vector with maximum similarity includes:
Calculate the feature vector of each service procedure in the feature vector and the multiple service procedure of each character conversion Between similarity;
The multiple service procedure is ranked up according to the descending sequence of the similarity;
The service procedure to make number one in service procedure after obtaining sequence.
5. method described in any one of -4 according to claim 1, which is characterized in that the associated clothes of the acquisition Cloud Server Before the feature vector for the service procedure for including in business process library, further includes:
Service procedure library is obtained, includes multiple service procedures with voice request Signal Matching in the service procedure library;
Obtain the associated database of Cloud Server;
The service procedure library is added in the database.
6. method described in any one of -4 according to claim 1, which is characterized in that the navigation requests signal includes voice Request signal;
Described to identify to the navigation requests signal, obtaining the corresponding target text of the navigation requests signal includes:
Speech recognition is carried out to the voice request signal, obtains the corresponding target text of the voice request signal.
7. method described in any one of -4 according to claim 1, which is characterized in that the navigation requests signal includes image Request signal;
Described to identify to the navigation requests signal, obtaining the corresponding target text of the navigation requests signal includes:
Optical character identification is carried out to described image request signal, obtains the target text in described image request signal.
8. a kind of enterprises service navigation device, which is characterized in that the device includes:
Module is obtained, for obtaining the navigation requests signal from mobile terminal;
Identification module, the navigation requests signal for obtaining to the acquisition module identifies, obtains the navigation and asks Seek the corresponding target text of signal;
Conversion module, for by the identification module identification obtain the target text in each character conversion be characterized to Amount, and obtain the feature vector for the service procedure for including in the associated service procedure library of Cloud Server;
Contrast module, the feature vector of each character for obtaining conversion module conversion and the spy of the service procedure Sign vector compares, and obtaining feature vector and the feature vector of each character conversion in the service procedure has maximum The service procedure of similarity;
Execution module, for call and execute obtain after contrast module comparison described in the service flow with maximum similarity Journey.
9. a kind of computer equipment, which is characterized in that including memory, processor and be stored on the memory and can be in institute The computer program run on processor is stated, when the processor executes the computer program, realizes such as claim 1~7 Any one of described in method.
10. a kind of non-transitorycomputer readable storage medium, is stored thereon with computer program, which is characterized in that the meter Such as method according to any one of claims 1 to 7 is realized when calculation machine program is executed by processor.
CN201910186484.6A 2019-03-12 2019-03-12 Enterprises service air navigation aid, device and computer equipment Pending CN110070331A (en)

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