CN109166070A - Tool generation method and device in government system - Google Patents
Tool generation method and device in government system Download PDFInfo
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Abstract
The embodiment of the present application provides tool generation method and device in a kind of government system, which comprises receives the tool that target user sends and generates request, the tool generates the target identification and the first tool configuration information that request carries target tool;It is generated in template library in tool, determines that tool corresponding with the target identification generates template;Template generation reference tool is generated according to the tool;The reference tool is configured according to the first tool configuration information, obtains the target tool.By implementing the embodiment of the present application, it is able to ascend intelligence when tool generates.
Description
Technical field
This application involves Internet technical fields, and in particular to tool generation method and device in a kind of government system.
Background technique
As information technology continues to develop, the information age is gradually begun to enter, while in recent years, with channel radio
The continuous development of letter technology and mobile interchange technology, information technology have obtained further development, at this stage China into
" internet+" epoch are entered.Under such background, the Chinese government is gradually increased the construction dynamics of E-Government, in reality
Work in E-Government, mobile government and government affairs new media also gradually obtained extensive utilization.
But from the point of view of the government affairs work in the whole country, the development of E-Government in China at this stage is also still
In the elementary step, in government system when Core Generator, the tool generation that artificial mode receives user's transmission is generallyd use
It requests and by artificial mode come Core Generator, so as to cause intelligent lower when tool generates.
Summary of the invention
The embodiment of the present application provides tool generation method and device in a kind of government system, when being able to ascend tool and generating
Intelligence.
The first aspect of the embodiment of the present application provides a kind of tool generation method method in government system, the method
Include:
It receives the tool that target user sends and generates request, the tool generates the target identification that request carries target tool
And the first tool configuration information;
It is generated in template library in tool, determines that tool corresponding with the target identification generates template;
Template generation reference tool is generated according to the tool;
The reference tool is configured according to the first tool configuration information, obtains the target tool.
The second aspect of the embodiment of the present application provides the tool generating means in a kind of government system, and described device includes
Receiving unit, the first determination unit, the first generation unit and the first configuration unit, wherein
Receiving unit, the tool for receiving target user's transmission generate request, and the tool generates request and carries target
The target identification of tool and the first tool configuration information;
First determination unit determines tool corresponding with the target identification for generating in template library in tool
Generate template;
First generation unit, for generating template generation reference tool according to the tool;
First configuration unit is obtained for configuring according to the first tool configuration information to the reference tool
The target tool.
The third aspect of the embodiment of the present application provides a kind of government system, including processor, input equipment, output equipment and
Memory, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is based on storing
Calculation machine program, the computer program include program instruction, and the processor is configured for calling described program instruction, are executed
Such as the step instruction in the embodiment of the present application first aspect.
The fourth aspect of the embodiment of the present application provides a kind of computer readable storage medium, wherein above-mentioned computer can
Read the computer program that storage medium storage is used for electronic data interchange, wherein above-mentioned computer program executes computer
The step some or all of as described in the embodiment of the present application first aspect.
5th aspect of the embodiment of the present application provides a kind of computer program product, wherein above-mentioned computer program produces
Product include the non-transient computer readable storage medium for storing computer program, and above-mentioned computer program is operable to make to count
Calculation machine executes the step some or all of as described in the embodiment of the present application first aspect.The computer program product can be
One software installation packet.
Implement the embodiment of the present application, at least has the following beneficial effects:
By the embodiment of the present application, receives the tool that target user sends and generate request, the tool generates request and carries
The target identification of target tool and the first tool configuration information are generated in template library in tool, are determined and the target mark
Sensible corresponding tool generates template, generates template generation reference tool according to the tool, configures according to first tool
Information configures the reference tool, obtains the target tool, therefore, can be according to the target tool that user sends
Target identification and configuration information generate template according to tool corresponding with target identification is matched, are joined by the template generation
Tool is examined, which is carried out with postponing to obtain target tool, relative to generalling use artificial mode in existing scheme
Target tool is generated, it being capable of intelligence and efficiency when hoisting tool generates to a certain extent.
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 only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 provides a kind of schematic diagram of tool generation method for the embodiment of the present application;
Fig. 2A provides a kind of flow diagram of the tool generation method in government system for the embodiment of the present application;
Fig. 2 B provides the schematic diagram of a kind of pair of eeg signal sliding-model control for the embodiment of the present application;
Fig. 3 provides the tool generation method in another government system for the embodiment of the present application;
Fig. 4 provides the tool generation method in another government system for the embodiment of the present application;
Fig. 5 is a kind of structural schematic diagram of government system provided by the embodiments of the present application;
Fig. 6 provides the tool generating means in a kind of government system for the embodiment of the present application;
Fig. 7 provides the tool generating means in another government system for the embodiment of the present application;
Fig. 8 provides the tool generating means in another government system for the embodiment of the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include other step or units intrinsic for these process, methods, product or equipment.
" embodiment " mentioned in this application is it is meant that a particular feature, structure, or characteristic described can be in conjunction with the embodiments
Included at least one embodiment of the application.The phrase, which occurs, in each position in the description might not each mean phase
Same embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art are explicitly
Implicitly understand, embodiments described herein can be combined with other embodiments.
Electronic device involved by the embodiment of the present application may include the various handheld devices with wireless communication function,
Mobile unit, wearable device calculate equipment or are connected to other processing equipments and various forms of radio modem
User equipment (user equipment, UE), mobile station (mobile station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as electronic device.
In order to better understand the embodiment of the present application, the tool generation method in government system is carried out first below brief
It introduces.Referring to Fig. 1, Fig. 1 provides a kind of schematic diagram of tool generation method for the embodiment of the present application.As shown in Figure 1, target
User 101 sends means requests and arrives government system 102, which generates the target identification and the of carrying target tool in request
One tool configuration information, for government system 102 after the tool for receiving the transmission of target user 101 generates request, extracting tool is raw
At the target identification carried in request and the first tool configuration information, government system 102 generates in template library in tool, determines
Tool corresponding with target identification generates template out, and government system 102 generates template generation reference tool, political affairs according to the tool
Business system 102 configures reference tool according to the first tool configuration information extracted, and target work is obtained after the completion of configuration
Tool, by the above method, generates target tool relative to artificial mode is generallyd use in existing scheme, can be in certain journey
Intelligence and efficiency when hoisting tool generates on degree.
Please refer to Fig. 2A, Fig. 2A provides a kind of process of the tool generation method in government system for the embodiment of the present application
Schematic diagram.As shown in Figure 2 A, tool generation method includes step 201-204, specific as follows:
201, it receives the tool that target user sends and generates request, the tool generates the target that request carries target tool
Mark and the first tool configuration information.
Wherein, the target identification of target tool and the first tool configuration information are used for the unique identification target tool, tool
Can include: " shaking ", " traffic cycle ", " ballot ", " red packet ", " live broadcast in both illustration and text ", " activity ", " question and answer ", " break-through question and answer " or
" point color lump " etc..
Optionally, the mode for receiving the tool generation request that target user sends can send tool for target user and generate
Government system is requested, tool is then received and generates request, is also possible to target user and government system staff obtains connection
After system, the mark and tool configuration information list of tool are obtained, is selected from the mark and tool configuration information list of tool
After taking the target identification and the first tool configuration information of target tool, it is input in electronic device, is sent by electronic device
Tool generates request, then receives tool and generates request, there may also be other modes by certain target user to send tool
Request is generated, the tool that then government system receives that target user sends generates request, is not especially limited herein.
It optionally, further include establishing government system and target user before the tool of transmission generates request to government system
Between secured communication channel, establishing secured communication channel includes: that this method is related to government system, target user and agency and sets
It is standby, specifically comprise the following steps:
S1, initialization: initial phase mainly complete government system, target user agent equipment registration, theme
Subscription and the generation of system parameter.Government system, target user register to agent equipment, only pass through the government affairs of registration
System and user could participate in the publication and subscription of theme, and target user subscribes to related subject to agent equipment.Agent equipment is raw
At system public parameter (PK) and master key (MSK), PK is sent to registered government system and user.
S2, encryption, publication: encryption, launch phase are mainly that government system carries out the corresponding load of the theme to be issued
Encryption, and it is sent to agent equipment.Government system uses symmetric encipherment algorithm encrypted payload first, generates ciphertext (CT), then
Formulate access structureAccording to government system generate PK andEncrypted symmetric key, finally by encrypted key and plus
Close load is sent to agent equipment.Agent equipment is after the encrypted key and CT for receiving government system transmission, filtering
And it is transmitted to the user.
Optionally, access structureIt is a kind of access tree construction.Each non-leaf nodes of access tree is a thresholding,
Use KxIt indicates, 0≤Kx≤ num (x), num (x) indicate its son node number.Work as KxWhen=num (x), non-leaf nodes represent with
Door;Work as KxWhen=1, non-leaf nodes represents or door;Each leaf node of access tree represents an attribute.Attribute set is full
One access tree construction of foot can be with is defined as: setting T is the access tree using r as root node, TxIt is using x as the subtree of the T of root node.
If Tx(S)=1, then declared attribute set S meets access structure Tx.If node x is leaf node, and if only if leaf section
When the associated attribute att (x) of point x is the element of attribute set S, Tx(S)=1.If node x is non-leaf nodes, at least KxIt is a
Child node z meets Tz(S)=1 when, Tx(S)=1.
S3, private key generate: private key generation phase is mainly that agent equipment is that target user generates corresponding key, for solving
The close CT received thereafter.Target user provides attribute set A to agent equipmenti(attribute can be the feature of subscription end, role etc.
Information), agent equipment is according to PK, attribute set AiAnd master key MSK generates private key SK, then sends the private key of generation to
The user.
Optionally, attribute set AiFor global set U={ A1, A2..., AnA subset.Attribute set AiIt indicates to use
The attribute information of family i can be feature, role of user etc., be the default property of target user, and global set U indicates all
The set of target user's attribute information.
S4, decryption: decryption phase is mainly that target user encrypted payload is decrypted the process for extracting civilization.User exists
After the encrypted key and CT that receive agent equipment transmission, obtained according to the encrypted key of PK and SK decryption symmetrical close
Key.If its attribute set AiMeet the access structure of ciphertextThen can successful decryption ciphertext, the peace of communication process has been ensured with this
Quan Xing.
By constructing secured communication channel, it can guarantee the peace communicated between target user and government system to a certain extent
Quan Xing reduces a possibility that illegal user steals the data transmitted between user and government system, decreases simultaneously
Illegal user can also distort system by intrusion system, so that the significant data in system is by generation the case where stealing.
202, it is generated in template library in tool, determines that tool corresponding with the target identification generates template.
Optionally, it includes that reference identification, tool generation module and tool generate template that tool, which generates in template library, with reference to mark
Know and generate template one-to-one correspondence with tool, is arranged by system default, certain system can also add new reference identification and tool
Target is generated into the corresponding relationship.
A kind of method of optional possible determination tool generation template corresponding with target identification includes step A1-
A3, specific as follows:
A1, it target identification and tool is generated into the reference identification in template library is compared, obtain target identification and each
Similarity between reference identification;
Optionally, target identification can be target tool icon, and target tool icon is the icon of target tool, the icon
It is set by government system is unified.A kind of method of similarity between possible determining target identification and reference identification are as follows:
A11, the target tool icon and reference tool icon are split as n*n histogram with a matrix type
Shape, each rectangular graph have a matrix coordinate, wherein the matrix is the matrix of n*n, and n is the odd number greater than 2;
Optionally, wherein when being split as n*n rectangular graph with a matrix type, the face of the rectangular graph obtained after fractionation
Product can be identical, be also possible to different.It is a kind of possible to tear open if the area of rectangular graph obtained after splitting is different
The mode of dividing are as follows: extract the region where the key content of target tool icon, when splitting to the region, split density
Greater than the fractionation density of non-critical content region, i.e. the area of the rectangular graph of key content region is less than non-key
The rectangular area of content region.Wherein, key content for example can be the region etc. in icon with significant meaning, mark
The region of will meaning can be that can highlight the region of icon characteristic, such as the region of the special shape in Google's icon.
A12, by the target tool icon and the rectangular graph in reference tool icon according to corresponding coordinate position into
Row compares, and obtains n*n matching degree;
A13, by matrix coordinate in target tool icon be (1,1), (1, n), (n/2+0.5,1), (n/2+0.5, x), (x,
N/2+0.5) and the rectangular graph of (n, n) is compared with the figure of respective coordinates position in reference tool icon, obtains
Matching degree is as the first matching degree set, using the matching degree except the first matching degree set as the second matching degree set, wherein
The value range of x is [1, n], and matching degree for example can be similarity etc.;
E14, seek the first matching degree set, the matching degree in the second matching degree set is greater than the matching degree of matching degree threshold value
Mean value, using the mean value as the similarity between target identification and reference identification.
Optionally, the matching degree in the first matching degree set can also include the key content location of file destination icon
The matching degree in domain.
Optionally, matching degree threshold value is 80%.It is obtained by the above method similar between target identification and reference identification
Degree, when matching to target tool icon with reference tool icon, by the division of key area, can have specific aim
Differentiation similarity, thus simplify matching process while, also can guarantee matched accuracy.
A2, by reference identification corresponding to the maximum value of the similarity between target identification and each reference identification, as
The reference identification to match with target identification;
A3, obtain tool corresponding to the reference identification generate template, using the tool generate template as with target identification
Corresponding tool generates template.
Optionally, the corresponding relationship between template is generated according to preset reference identification and tool to obtain the reference identification
Corresponding tool generates template.
In one possible example, the method for alternatively possible determination tool generation template corresponding with target identification
It is specific as follows including step B1-B3:
B1, the target identification is compared with each reference identification in tool generation template library, obtains institute
State the similarity between target identification and each reference identification;
Optionally, obtaining the similarity between target identification and each reference identification can refer to specific side in step A1
Method, details are not described herein again.
If the similarity between B2, the target identification and each reference identification is respectively less than the first similarity threshold,
Then according to the first tool configuration information, tool generation module set is obtained, the tool generation module set includes multiple and institute
State the tool generation module that target tool matches;
Wherein, the first similarity threshold for example can be 50% the following value, be specifically as follows 30%, 45% etc..
Optionally, the first tool configuration information is parsed, the node needed to configure in the first tool configuration information is obtained,
In, the node needed to configure for example can be lot probability, prize, prize quantity, activity time, time of getting the winning number in a bond, wechat sharing
Setting etc..Then tool generation module corresponding with the node can be obtained according to specific node, for example, the corresponding work of lot probability
It can be prize type setup module etc. that tool generation module, which can be probabilistic settings module, the corresponding tool generation module of prize,.
B3, the tool generation module in the tool generation module set is combined, is obtained and the target identification
Corresponding tool generates template.
Optionally, a kind of possible method being combined to tool generation module includes step B31-B34, specifically such as
Under:
B31, the module id for extracting each tool generation module in the tool generation module set;
Optionally, each tool generation module includes module id, and each module has priority, and different tools is raw
It can have identical priority at module, the tool generation module of priority having the same is advanced when being combined
Row combination, without combined sequencing.
B32, obtain each tool generation module module id priority, according to priority from high to low suitable
Sequence generates the first built-up sequence;
B33, the tool generation module in the tool model set is ranked up according to first built-up sequence, is obtained
To the first tool model composite sequence;
B34, group is carried out to the tool generation module in tool model set according to the first tool model composite sequence
It closes, when being combined to the third tool generation module in the first tool model composite sequence, executes following steps
A, step B and step C:
The step A includes: the first object status information for obtaining the target user, and generates the life of the first sub- instrument
At module collection, wherein the first sub- instrument generation module set includes in tool generation module set except the work combined
Has the tool generation module except generation module, the first object status information includes the brain wave letter of the target user
Number;
The step B includes: to generate the second built-up sequence, and the second built-up sequence of the generation includes: to the brain wave
Signal is pre-processed, and is obtained with reference to eeg signal;Feature extraction is carried out with reference to eeg signal to described, obtains target spy
Value indicative;According to the variation tendency of the characteristic value, the second built-up sequence is obtained;
Optionally, to eeg signal carry out pretreatment may include: successively eeg signal is filtered and
Enhanced processing, wherein low-noise amplifier can be used when enhanced processing, processing is amplified to eeg signal.
Optionally, feature extraction is carried out to reference eeg signal can include: can carry out at discretization to reference brain wave
Reason, and the time shaft of eeg signal is divided using preset time interval, multiple time points are obtained, when extracting each
Between at point eeg signal signal strength indication, using the signal strength indication of the eeg signal at each time point as target spy
Value indicative.See sliding-model control shown in Fig. 2 B, in Fig. 2 B, a is the amplitude of eeg signal, and t is time shaft, at discretization
When reason, time shaft is divided into t0-t10,10 time points.
Optionally, the waveform diagram that discrete eeg signal is drawn according to object feature value is determined according to waveform diagram tendency
Second built-up sequence out, wherein waveform diagram tendency for example can be, and be illustrated by taking Fig. 2 B as an example, and t9-t10 sections, it is possible to understand that
It is raising for brain wave tendency, brain wave tendency is, it can be understood as user is in excitatory state, can to present combination when increasing
Can more be satisfied with, can adjustment built-up sequence appropriate, t4-t5 sections, it can be understood as brain wave tendency be reduce, brain wave tendency
When to reduce, user is in low state, may be unsatisfied with to current built-up sequence, needs adjustment combination by a relatively large margin suitable
Sequence.Determine that the method for the second built-up sequence can be with according to brain wave tendency are as follows: if brain wave tendency is to reduce, the second combination is suitable
Sequence can be that the tool generation module in the first sub- instrument generation module set is arranged according to the sequence of priority from low to high
Column, the second built-up sequence obtained from.If brain wave tendency is to increase, obtains and continue after the brain wave tendency increases
Time, if brain wave increase after, keep higher amplitude time be more than prefixed time interval, then using the first built-up sequence as
Second built-up sequence obtains raw to each tool in the first sub- instrument generation module set if being lower than prefixed time interval
It time when being combined at module, is ranked up according to the assembly time, obtains the second sequence and combine, according to the assembly time from short
It is arranged to long sequence, is arranged to obtain the second built-up sequence, Neng Gou from long sequence is short to by the assembly time
Meets the needs of user's current state is to built-up sequence to a certain extent, to promote user experience.
The step C includes: raw to the tool in the first sub- instrument generation module set according to the second built-up sequence
It is ranked up at module, obtains the second tool model composite sequence, according to the second tool model composite sequence to tool mould
Tool generation module in set of blocks is combined;
The step A to the step C is repeated, until the tool generation module in the tool generation module set
All combination is completed, until obtaining tool generation template corresponding with the target identification.
Optionally, after generating tool corresponding with target identification and generating template, which can also be generated template
With target identification as fixed mapping relations, it is added to tool and generates in template library, it certainly can also be from the whole acquisition mark of network
Know and generate template with tool, to be updated to template library, the update to template library is completed with this, so as to certain
The adaptability of lifting system in degree.
203, template generation reference tool is generated according to the tool.
Optionally, reference tool is the tool after directly being generated by tool palette, and state is the initial of system default
State does not have practicability also, needs to carry out it to use with postponing.
204, the reference tool is configured according to the first tool configuration information, obtains the target tool.
Optionally, after obtaining target tool, the mood of user can be also acquired, by judging user to generation
The satisfaction of target tool, to make the modification of adaptability to target tool, method can use step C1-C4, specifically
It is as follows:
C1, the facial expression for obtaining the target user;
Optionally, target user region can be shot by camera, obtains including target user's face
Image, to the image carry out face recognition, obtain the facial image of target user, determined from the facial image target use
The facial expression at family.
When differentiating the facial expression of target user according to facial image, can be carried out using the standard faces image prestored
It compares, so that the standard faces image to match with target user's facial image is obtained, to obtain according to standard faces image
The facial expression of target user.
C2, the mood that the target user is determined according to the facial expression;
Optionally, the mood of user includes: happy, common mood, agitation etc., wherein common mood is the usual heart of user
Feelings, the not state of emotional change.According to the mapping relations of the facial expression and user mood that prestore, the heart of target user is obtained
Feelings, such as: facial expression is smiling face, then the mood of target user is happy etc..
C3, the second tool configuration information is generated according to the mood of the target user;
Optionally, by taking the tool of generation is " shaking " as an example, if judging, the mood of target user is happy or common
Mood, then the second tool configuration information is sky, i.e., does not configure again to target tool, if determining the mood of target user
For agitation, then the second tool configuration information can be with are as follows: reduces to lot probability;Prize is modified, be changed to price compared with
Low prize;Prize quantity is reduced.
C4, the target tool is configured according to the second tool configuration information.
Optionally, target tool repeat the above steps with postponing using the second tool configuration information, until using
Until family mood is happy, target tool is configured again by the above method, it being capable of hoisting tool life to a certain extent
User experience after.
Referring to Fig. 3, Fig. 3 provides the tool generation method in another government system for the embodiment of the present application.Such as Fig. 3
Shown, tool generation method may include step 301-306, specific as follows:
301, it receives the tool that target user sends and generates request, the tool generates the target that request carries target tool
Mark and the first tool configuration information;
302, the target identification is generated each reference identification in template library with the tool to be compared, obtains institute
State the similarity between target identification and each reference identification;
If 303, the similarity between the target identification and each reference identification is respectively less than the first similarity threshold,
Then according to the first tool configuration information, tool generation module set is obtained, the tool generation module set includes multiple and institute
State the tool generation module that target tool matches;
304, the tool generation module in the tool generation module set is combined, is obtained and the target identification
Corresponding tool generates template;
Optionally, being combined to tool generation module set can be used following method:
3041, the module id of each tool generation module in the tool generation module set is extracted;
3042, the priority of the module id of each tool generation module is obtained, from high to low according to priority
It is sequentially generated the first built-up sequence;
3043, the tool generation module in the tool model set is ranked up according to first built-up sequence,
Obtain the first tool model composite sequence;
3044, group is carried out to the tool generation module in tool model set according to the first tool model composite sequence
It closes, when being combined to the third tool generation module in the first tool model composite sequence, executes following steps
A, step B and step C:
The step A includes: the first object status information for obtaining the target user, and generates the life of the first sub- instrument
At module collection, wherein the first sub- instrument generation module set includes in tool generation module set except the work combined
Has the tool generation module except generation module, the first object status information includes the brain wave letter of the target user
Number;
The step B includes: to generate the second built-up sequence, and the second built-up sequence of the generation includes: to the brain wave
Signal is pre-processed, and is obtained with reference to eeg signal;Feature extraction is carried out with reference to eeg signal to described, obtains target spy
Value indicative;According to the variation tendency of the characteristic value, the second built-up sequence is obtained;
The step C includes: raw to the tool in the first sub- instrument generation module set according to the second built-up sequence
It is ranked up at module, obtains the second tool model composite sequence, according to the second tool model composite sequence to tool mould
Tool generation module in set of blocks is combined;
The step A to the step C is repeated, until the tool generation module in the tool generation module set
All combination is completed, until obtaining tool generation template corresponding with the target identification.
305, template generation reference tool is generated according to the tool;
306, the reference tool is configured according to the first tool configuration information, obtains the target tool.
In this example, when by determining that tool generates template in template library, if failing to find suitable template, basis
Configuration information, select tool generation module, and tool generation module is combined, it obtains tool and generates template, it can be certain
It is lifted at reliability when tool generates in degree, promotes user experience.
Referring to Fig. 4, Fig. 4 provides the tool generation method in another government system for the embodiment of the present application.Such as Fig. 4
Shown, tool generation method may include step 401-408, specific as follows:
401, it receives the tool that target user sends and generates request, the tool generates the target that request carries target tool
Mark and the first tool configuration information;
402, it is generated in template library in tool, determines that tool corresponding with the target identification generates template;
403, template generation reference tool is generated according to the tool;
404, the reference tool is configured according to the first tool configuration information, obtains the target tool;
405, the facial expression of the target user is obtained;
406, the mood of the target user is determined according to the facial expression;
407, the second tool configuration information is generated according to the mood of the target user;
408, the target tool is configured according to the second tool configuration information.
In this example, by being configured again after target tool generates to target tool, it can mention to a certain extent
User experience after the generation of the tool of liter.
It is consistent with above-described embodiment, referring to Fig. 5, Fig. 5 is a kind of knot of government system provided by the embodiments of the present application
Structure schematic diagram, it is the processor, input equipment, defeated as shown, include processor, input equipment, output equipment and memory
Equipment and memory are connected with each other out, wherein for the memory for storing computer program, the computer program includes journey
Sequence instruction, the processor are configured for calling described program instruction, and above procedure includes the finger for executing following steps
It enables;
It receives the tool that target user sends and generates request, the tool generates the target identification that request carries target tool
And the first tool configuration information;
It is generated in template library in tool, determines that tool corresponding with the target identification generates template;
Template generation reference tool is generated according to the tool;
The reference tool is configured according to the first tool configuration information, obtains the target tool.
In this example, request is generated by receiving the tool that target user sends, the tool generates request and carries target
The target identification of tool and the first tool configuration information are generated in template library in tool, are determined and the target identification phase
Corresponding tool generates template, template generation reference tool is generated according to the tool, according to the first tool configuration information
The reference tool is configured, the target tool is obtained, therefore, the target for the target tool that can be sent according to user
Mark and configuration information generate template according to tool corresponding with target identification is matched, refer to work by the template generation
Tool carries out with postponing to obtain target tool the reference tool, relative to generalling use artificial mode next life in existing scheme
It, being capable of intelligence and efficiency when hoisting tool generates to a certain extent at target tool.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is understood that
, in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or software mould for government system
Block.Those skilled in the art should be readily appreciated that, in conjunction with each exemplary unit of embodiment description presented herein
And algorithm steps, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with
Hardware or computer software drive the mode of hardware to execute, the specific application and design constraint item depending on technical solution
Part.Professional technician can specifically realize described function to each using distinct methods, but this reality
Now it is not considered that exceeding scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to above method example to terminal, for example, can be right
The each functional unit of each function division is answered, two or more functions can also be integrated in a processing unit.
Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
Illustrate, is schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical to realize
When there may be another division manner.
It is consistent with the above, referring to Fig. 6, for the embodiment of the present application to provide the tool in a kind of government system raw by Fig. 6
At device, described device includes receiving unit 601, the first determination unit 602, the first generation unit 603 and the first configuration unit
604, wherein
Receiving unit 601, the tool for receiving target user's transmission generate request, and the tool generates request and carries mesh
The target identification of mark tool and the first tool configuration information;
First determination unit 602 determines work corresponding with the target identification for generating in template library in tool
Tool generates template;
First generation unit 603, for generating template generation reference tool according to the tool;
First configuration unit 604 is obtained for configuring according to the first tool configuration information to the reference tool
To the target tool.
In this example, the tool generating means in government system receive the tool that target user sends and generate request, described
Tool generates the target identification and the first tool configuration information that request carries target tool, generates in template library in tool, really
It makes tool corresponding with the target identification and generates template, template generation reference tool is generated according to the tool, according to
The first tool configuration information configures the reference tool, obtains the target tool, therefore, can be according to user
The target identification and configuration information of the target tool of transmission generate template according to tool corresponding with target identification is matched,
By the template generation reference tool, which lead to relative in existing scheme with postponing to obtain target tool
Generate target tool frequently with artificial mode, can to a certain extent hoisting tool generate when intelligence and effect
Rate.
Optionally, it includes reference identification and tool generation module that the tool, which generates template library, is generating template in tool
In library, in terms of determining that tool corresponding with the target identification generates template, first determination unit 602 is specifically used
In:
The target identification is generated each reference identification in template library with the tool to be compared, obtains the mesh
Similarity between mark mark and each reference identification;
If the similarity between the target identification and each reference identification is respectively less than the first similarity threshold, root
According to the first tool configuration information, tool generation module set is obtained, the tool generation module set includes multiple and the mesh
The tool generation module that mark tool matches;
Tool generation module in the tool generation module set is combined, is obtained opposite with the target identification
The tool answered generates template.
Optionally, it is combined, obtains and the mesh by the tool generation module in the tool generation module set
Mark identifies in terms of corresponding tool generates template, first determination unit 602 also particularly useful for:
Extract the module id of each tool generation module in the tool generation module set;
The priority for obtaining the module id of each tool generation module, it is raw according to the sequence of priority from high to low
At the first built-up sequence;
The tool generation module in the tool model set is ranked up according to first built-up sequence, obtains
One tool model composite sequence;
The tool generation module in tool model set is combined according to the first tool model composite sequence, when
When being combined to the third tool generation module in the first tool model composite sequence, following steps A, step are executed
B and step C:
The step A includes: the first object status information for obtaining the target user, and generates the life of the first sub- instrument
At module collection, wherein the first sub- instrument generation module set includes in tool generation module set except the work combined
Has the tool generation module except generation module, the first object status information includes the brain wave letter of the target user
Number;
The step B includes: to generate the second built-up sequence, and the second built-up sequence of the generation includes: to the brain wave
Signal is pre-processed, and is obtained with reference to eeg signal;Feature extraction is carried out with reference to eeg signal to described, obtains target spy
Value indicative;According to the variation tendency of the characteristic value, the second built-up sequence is obtained;
The step C includes: raw to the tool in the first sub- instrument generation module set according to the second built-up sequence
It is ranked up at module, obtains the second tool model composite sequence, according to the second tool model composite sequence to tool mould
Tool generation module in set of blocks is combined;
The step A to the step C is repeated, until the tool generation module in the tool generation module set
All combination is completed, until obtaining tool generation template corresponding with the target identification.
Optionally, referring to Fig. 7, Fig. 7, which provides the tool in another government system for the embodiment of the present application, generates dress
It sets.Tool generating means in the government system further include:
Adding unit 605, for the target identification and tool corresponding with the target identification to be generated template
It is added to the tool to generate in template library.
Optionally, referring to Fig. 8, Fig. 8, which provides the tool in another government system for the embodiment of the present application, generates dress
It sets.Tool generating means in the government system further include:
Acquiring unit 606, for obtaining the facial expression of the target user;
Second determination unit 607, for determining the mood of the target user according to the facial expression;
Second generation unit 608, for generating the second tool configuration information according to the mood of the target user;
Second configuration unit 609, for being configured according to the second tool configuration information to the target tool.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, it is as any in recorded in above method embodiment which execute computer
A kind of some or all of tool generation method in government system step.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program make computer execute such as above method embodiment
Some or all of tool generation method in any government system of middle record step.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, applying for that each functional unit in bright each embodiment 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 be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (read-only memory, ROM), random access memory
The various media that can store program code such as (random access memory, RAM), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
It may include: flash disk, read-only memory, random access device, disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas;
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. the tool generation method in a kind of government system, which is characterized in that the described method includes:
Receive the tool that target user sends and generate request, the tool generate request carry target tool target identification and
First tool configuration information;
It is generated in template library in tool, determines that tool corresponding with the target identification generates template;
Template generation reference tool is generated according to the tool;
The reference tool is configured according to the first tool configuration information, obtains the target tool.
2. the method according to claim 1, wherein it includes reference identification and tool that the tool, which generates template library,
Generation module, it is described to be generated in template library in tool, determine that tool corresponding with the target identification generates template, packet
It includes:
The target identification is generated each reference identification in template library with the tool to be compared, obtains the target mark
Know the similarity between each reference identification;
If the similarity between the target identification and each reference identification is respectively less than the first similarity threshold, according to
One tool configuration information, obtains tool generation module set, and the tool generation module set includes multiple and the target work
Has the tool generation module to match;
Tool generation module in the tool generation module set is combined, is obtained corresponding with the target identification
Tool generates template.
3. according to the method described in claim 2, it is characterized in that, described that tool in the tool generation module set is raw
It is combined at module, obtains tool corresponding with the target identification and generate template, comprising:
Extract the module id of each tool generation module in the tool generation module set;
The priority for obtaining the module id of each tool generation module, according to priority from high to low be sequentially generated
One built-up sequence;
The tool generation module in the tool model set is ranked up according to first built-up sequence, obtains the first work
Has block combiner sequence;
The tool generation module in tool model set is combined according to the first tool model composite sequence, when to institute
When stating the third tool generation module in the first tool model composite sequence and being combined, execute following steps A, step B and
Step C:
The step A includes: the first object status information for obtaining the target user, and generates the first sub- instrument and generate mould
Set of blocks, wherein the first sub- instrument generation module set includes in tool generation module set except the tool combined is raw
At the tool generation module except module, the first object status information includes the eeg signal of the target user;
The step B includes: to generate the second built-up sequence, and the second built-up sequence of the generation includes: to the eeg signal
It is pre-processed, is obtained with reference to eeg signal;Feature extraction is carried out with reference to eeg signal to described, obtains target signature
Value;According to the variation tendency of the characteristic value, the second built-up sequence is obtained;
The step C includes: to generate mould to the tool in the first sub- instrument generation module set according to the second built-up sequence
Block is ranked up, and obtains the second tool model composite sequence, according to the second tool model composite sequence to tool model collection
Tool generation module in conjunction is combined;
The step A to the step C is repeated, until the tool generation module in the tool generation module set is whole
Combination is completed, until obtaining tool generation template corresponding with the target identification.
4. according to the method described in claim 2, it is characterized in that, in the work that the multiple and target tool matches
Tool generation module is combined, and is obtained tool corresponding with the target identification and is generated template, later further include:
The target identification and tool corresponding with the target identification are generated into template and are added to the tool generation mould
In plate library.
5. method according to any one of claims 1 to 4, which is characterized in that described according to the tool configuration information
The reference tool is configured, after obtaining the target tool, the method also includes:
Obtain the facial expression of the target user;
The mood of the target user is determined according to the facial expression;
The second tool configuration information is generated according to the mood of the target user;
The target tool is configured according to the second tool configuration information.
6. the tool generating means in a kind of government system, which is characterized in that described device includes:
Receiving unit, the tool for receiving target user's transmission generate request, and the tool generates request and carries target tool
Target identification and the first tool configuration information;
First determination unit determines that tool corresponding with the target identification generates for generating in template library in tool
Template;
First generation unit, for generating template generation reference tool according to the tool;
First configuration unit obtains described for configuring according to the first tool configuration information to the reference tool
Target tool.
7. device according to claim 6, which is characterized in that it includes reference identification and tool that the tool, which generates template library,
Generation module, first determination unit are specifically used for:
The target identification is generated each reference identification in template library with the tool to be compared, obtains the target mark
Know the similarity between each reference identification;
If the similarity between the target identification and each reference identification is respectively less than the first similarity threshold, according to
One tool configuration information, obtains tool generation module set, and the tool generation module set includes multiple and the target work
Has the tool generation module to match;
Tool generation module in the tool generation module set is combined, is obtained corresponding with the target identification
Tool generates template.
8. device according to claim 7, which is characterized in that first determination unit also particularly useful for:
Extract the module id of each tool generation module in the tool generation module set;
The priority for obtaining the module id of each tool generation module, according to priority from high to low be sequentially generated
One built-up sequence;
The tool generation module in the tool model set is ranked up according to first built-up sequence, obtains the first work
Has block combiner sequence;
The tool generation module in tool model set is combined according to the first tool model composite sequence, when to institute
When stating the third tool generation module in the first tool model composite sequence and being combined, execute following steps A, step B and
Step C:
The step A includes: the first object status information for obtaining the target user, and generates the first sub- instrument and generate mould
Set of blocks, wherein the first sub- instrument generation module set includes in tool generation module set except the tool combined is raw
At the tool generation module except module, the first object status information includes the eeg signal of the target user;
The step B includes: to generate the second built-up sequence, and the second built-up sequence of the generation includes: to the eeg signal
It is pre-processed, is obtained with reference to eeg signal;Feature extraction is carried out with reference to eeg signal to described, obtains target signature
Value;According to the variation tendency of the characteristic value, the second built-up sequence is obtained;
The step C includes: to generate mould to the tool in the first sub- instrument generation module set according to the second built-up sequence
Block is ranked up, and obtains the second tool model composite sequence, according to the second tool model composite sequence to tool model collection
Tool generation module in conjunction is combined;
The step A to the step C is repeated, until the tool generation module in the tool generation module set is whole
Combination is completed, until obtaining tool generation template corresponding with the target identification.
9. device according to claim 7, which is characterized in that the tool generating means in the government system further include:
Adding unit is added to institute for the target identification and tool corresponding with the target identification to be generated template
Tool is stated to generate in template library.
10. according to the described in any item devices of claim 6 to 9, which is characterized in that the tool in the government system generates dress
It sets further include:
Acquiring unit, for obtaining the facial expression of the target user;
Second determination unit, for determining the mood of the target user according to the facial expression;
Second generation unit, for generating the second tool configuration information according to the mood of the target user;
Second configuration unit, for being configured according to the second tool configuration information to the target tool.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102238096A (en) * | 2010-05-06 | 2011-11-09 | 蒋斌 | Control method for updating friend information of chatting tool according to characteristics of login user |
US20130347077A1 (en) * | 2012-06-26 | 2013-12-26 | International Business Machines Corporation | Automatic authorization of users and configuration of software development environment |
CN103713896A (en) * | 2013-12-17 | 2014-04-09 | 北京京东尚科信息技术有限公司 | Software development kit generation method and device used for accessing server |
CN105718148A (en) * | 2016-01-26 | 2016-06-29 | 北京小米移动软件有限公司 | Display method and device for application icons and equipment |
CN106161547A (en) * | 2015-04-14 | 2016-11-23 | 阿里巴巴集团控股有限公司 | A kind of method and apparatus generating cloud service experience instrument |
CN107000210A (en) * | 2014-07-15 | 2017-08-01 | 趣普科技公司 | Apparatus and method for providing lasting partner device |
-
2018
- 2018-07-27 CN CN201810846826.8A patent/CN109166070B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102238096A (en) * | 2010-05-06 | 2011-11-09 | 蒋斌 | Control method for updating friend information of chatting tool according to characteristics of login user |
US20130347077A1 (en) * | 2012-06-26 | 2013-12-26 | International Business Machines Corporation | Automatic authorization of users and configuration of software development environment |
CN103713896A (en) * | 2013-12-17 | 2014-04-09 | 北京京东尚科信息技术有限公司 | Software development kit generation method and device used for accessing server |
CN107000210A (en) * | 2014-07-15 | 2017-08-01 | 趣普科技公司 | Apparatus and method for providing lasting partner device |
CN106161547A (en) * | 2015-04-14 | 2016-11-23 | 阿里巴巴集团控股有限公司 | A kind of method and apparatus generating cloud service experience instrument |
CN105718148A (en) * | 2016-01-26 | 2016-06-29 | 北京小米移动软件有限公司 | Display method and device for application icons and equipment |
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