CN106713083A - Intelligent home appliance control method and device based on knowledge map, and system - Google Patents
Intelligent home appliance control method and device based on knowledge map, and system Download PDFInfo
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- CN106713083A CN106713083A CN201611050982.0A CN201611050982A CN106713083A CN 106713083 A CN106713083 A CN 106713083A CN 201611050982 A CN201611050982 A CN 201611050982A CN 106713083 A CN106713083 A CN 106713083A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/24—Multipath
Abstract
An embodiment of the invention relates to the field of intelligent control technologies, in particular to an intelligent home appliance control method and an intelligent home appliance control device based on a knowledge map, and an intelligent home system. The intelligent home appliance control method comprises the steps of: extracting keywords from an interactive command input by a user; determining nodes corresponding to the keywords in a knowledge map network; determining service paths formed by the nodes corresponding to the keywords in the knowledge map network according to a sequence of the keywords in the interactive command; determining cost values of the service paths according to connecting sides among the nodes in the service paths and weight values of the corresponding connecting sides; and determining the minimum value of the cost values, and determining an intelligent home appliance controlled by the interactive command according to the service path corresponding to the minimum value. The intelligent home appliance control method and the intelligent home appliance control device based on the knowledge map can solve the problem of determining the service paths when utilizing the knowledge map network to perform intelligent home appliance control.
Description
Technical field
Set the present embodiments relate to field of intelligent control technology, more particularly to a kind of smart home of knowledge based collection of illustrative plates
Standby control method, apparatus and system.
Background technology
Smart home is with house as platform, using skills such as comprehensive wiring technology, the network communications technology, security precautions technologies
Art is integrated by the relevant facility of life staying idle at home, builds the management system of efficient housing facilities and family's schedule affairs.With intelligence
The fast development of energy household, various intelligent home devices enter huge numbers of families, such as, and Intelligent illumination device, intelligence electricity
Depending on, intelligent refrigerator and intelligent air condition etc..During using such intelligent home device, for easy to operate, user
Such intelligent home device can be controlled by voice.Such as, user can control intelligence by voice " opening refrigerator "
The opening of refrigerator.
In the prior art, user controls the method for intelligent home device mainly to have two kinds by voice:When intelligent family
When occupying the microphone in equipment and receiving voice messaging, voice messaging is transmitted to the speech recognition dress on intelligent home device
Put.The speech recognition equipment is identified to the voice messaging, and generates control instruction, and the control instruction is used to indicate the intelligence
Home equipment performs corresponding operation.
Realize it is of the invention during, inventor find prior art at least there is problems with:
In the prior art, if user is intended to control intelligent home device by voice, each intelligent home device must
The high cost of Voice command intelligent home device must be caused equipped with microphone and speech recognition equipment.It is simultaneously to make the intelligence
Microphone on energy home equipment can smoothly receive the voice messaging of user's transmission, and user uses when voice messaging is sent
The position at family preferably must be held near the intelligent home device, reduce the flexibility of Voice command intelligent home device.
In order to reduce the cost of Voice command intelligent home device and increase the flexibility of control, prior art is also provided
Another method for controlling intelligent home device by voice:Intelligent home device is connected by wire or wirelessly to
Control device, when the microphone on control device receives voice messaging, voice messaging is transmitted to the language on control device
Sound identifying device, the speech recognition equipment is identified to the voice for receiving, and determines controlled intelligence according to the result of identification
Energy home equipment and generation control instruction, the control instruction are used to indicate the controlled intelligent home device determined to perform accordingly
Operation.
Realize it is of the invention during, inventor find:Intelligent home device is controlled by control device
In scene, each intelligent home device is without that for speech recognition additional configuration microphone and speech recognition equipment, can reduce
The cost of Voice command intelligent home device, and because control device connects with intelligent home device by wireless or cable
Connect, user is no longer required for user and preferably must be held near the intelligent home device when controlling intelligent home device, increased
The flexibility of Voice command intelligent home device.
Although it should be noted that having many excellent to the scheme that intelligent home device is controlled above by control device
Point, but inventor realize it is of the invention during it has also been found that:When user is intended to be set by control device Voice command smart home
When standby, it is desirable to controlled device must be explicitly pointed out in the voice messaging of user input, if do not had in the voice messaging of user input
Which intelligent home device is explicitly pointed out will control, and may result in control device cannot determine controlled intelligent home device,
Also the control of intelligent home device cannot just be completed.For example, the voice messaging that user is input into control device is " now indoor
Temperature is how many ", the intelligent home device that can respond the voice messaging may have air-conditioning, Temperature Humidity Sensor, electronic thermometer
Etc. various, due to not pointing out controlled device in the voice messaging of user input, which intelligent family main control device cannot be determined by
Occupy the order that equipment performs user.
It can be seen that, in Intelligent housing scene, when controlled device information is lacked in the voice messaging of user input, such as
What determines that controlled intelligent home device turns into problem demanding prompt solution.
The content of the invention
There is provided the intelligent home equipment control method and device of a kind of knowledge based collection of illustrative plates in the embodiment of the present invention, to solve
The problem of controlled intelligent home device is determined during the information that controlled device is lacked certainly in the control information of user input.
In a first aspect, the embodiment of the invention provides a kind of intelligent home equipment control method of knowledge based collection of illustrative plates, wrap
Include:
Each keyword is extracted from the interactive command of user input;
Determine the keyword corresponding node in knowledge mapping network;
According to order of described each keyword in the interactive command, it is determined that the corresponding node of described each keyword
Each service path formed in the knowledge mapping network;
Connection between the node in described each service path while and during the corresponding connection on power
Weight values, it is determined that the cost value of each service path;
Determine the minimum value in the cost value, and the interaction life is determined according to the corresponding service path of the minimum value
Make the intelligent home device of control.
Second aspect, the embodiment of the invention provides a kind of intelligent home device control dress of knowledge based collection of illustrative plates network
Put, including:Processor, memory and communication interface, the processor, the memory and the communication interface are total by communication
Line is connected;
The communication interface, the interactive command for receiving user input;
The memory, for store program codes;
The processor, for reading the program code stored in the memory, and performs as in claim 1 to 8
The intelligent home equipment control method of the knowledge based collection of illustrative plates network described in any one.
The third aspect, the embodiment of the invention provides a kind of intelligent domestic system, including:Multiple intelligent home devices and control
Control equipment, the control device is deployed with above-mentioned control device;
The control device is connected with the multiple intelligent home device respectively, and according to any in claim 1 to 8
Method described in is controlled to the multiple intelligent home device.
In the intelligent home device control program of the embodiment of the present invention, knowledge mapping technology is introduced, will intelligent family
The network abstraction for occupying equipment composition is knowledge mapping network, and the node in knowledge mapping network represents intelligent home device or intelligence
The related data of energy home equipment, the connection side between knowledge mapping nodes represents the association between intelligent home device
Relation, after the control device of intelligent home device receives the interactive command of user input, from the interactive command of user input
Middle each keyword of extraction, and determine that each keyword distinguishes corresponding node in knowledge mapping network;It is determined that each
Keyword is distinguished after corresponding node, order of the control device according to each keyword in interactive command, determines that each is closed
Keyword distinguishes each service path that corresponding node is formed in knowledge mapping network, afterwards according in each service path
Connection between node while and during corresponding connection on weighted value, determine the cost value of each service path, and according to cost
The minimum service path of value determines the intelligent home device of interactive command control, it is seen that the embodiment of the invention provides a kind of new
With reference to the intelligent home device control program of knowledge mapping, enable in particular to solve when missing is controlled in the control information of user input
During the information of object, control device can voluntarily determine the intelligent home device for performing control command.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary and explanatory, not
The embodiment of the present invention can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows and meets implementation of the invention
Example, and be used to explain principle of the invention together with specification.
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without having to pay creative labor, can also obtain other accompanying drawings according to these accompanying drawings.
Fig. 1 is a kind of structural representation of knowledge mapping network involved by the embodiment of the present invention;
Fig. 2 is the flow chart of the service path system of selection of the embodiment of the present invention one;
Fig. 3 is the flow chart of the service path system of selection of the embodiment of the present invention two;
Fig. 4 is a process chart for specific example of the embodiment of the present invention two;
Fig. 5 A- Fig. 5 D are the schematic diagrames of the corresponding node of each keyword;
Fig. 6 is the knowledge mapping network diagram of the node that Fig. 5 A- Fig. 5 D find;
Fig. 7 is the schematic diagram of the service path that the node in Fig. 6 is constituted;
Fig. 8 is the structural representation of embodiment of the present invention service path selection device.
Specific embodiment
In order that those skilled in the art more fully understand the technical scheme in the present invention, below in conjunction with of the invention real
The accompanying drawing in example is applied, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described implementation
Example is only a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, this area is common
The every other embodiment that technical staff is obtained under the premise of creative work is not made, should all belong to protection of the present invention
Scope.
Fig. 1 is a kind of structural representation of knowledge mapping network.As shown in figure 1, knowledge mapping network is a kind of use saving
Connection side (line between the orbicular spot of corresponding diagram 1) between point (round dot in corresponding diagram 1), node represents between each node
The network of incidence relation.Wherein, in knowledge mapping network, node can be any imformosome for needing and representing, if two
There is incidence relation between node, be then connected with connection side between two nodes, and connect weighted value can be distributed on side, with
Represent the probability with incidence relation between the two nodes;If there is no incidence relation between two nodes, two nodes
Between without connection side be connected.
Fig. 2 is the structural representation of intelligent domestic system involved by the embodiment of the present invention.As shown in Fig. 2 the smart home
System includes:Control device 101 and the TV 102 being connected with control device 101 respectively, air-conditioning 103, refrigerator 104 and
All kinds of intelligent home devices such as Temperature Humidity Sensor 105.Optionally, the control device 101 can be the tool such as computer, mobile phone
There is the equipment of operation control function, further, the equipment of control device 101 can also be the controlled device in intelligent domestic system
One or more intelligent home devices in 101, i.e. intelligent domestic system both can also be used as master control as controlled device
Equipment.
In order to realize the control to intelligent home device, in intelligent home equipment control method provided in an embodiment of the present invention
Introduce knowledge mapping technology, will intelligent home device constitute network abstraction be expressed as knowledge mapping network as shown in Figure 1.
For example, in the intelligent domestic system shown in Fig. 2, can be using the knowledge mapping network representation intelligence shown in Fig. 1
Each intelligent home device in house system and the data with each intelligent home device.
For example, TV 102, air-conditioning 103, refrigerator 104 and Temperature Humidity Sensor can be represented with the node in Fig. 1
The equipment such as 105, can also represent the back end such as the channel of TV 102, temperature, humidity, run time with the node in Fig. 1.When
Control device 101 is received when lack clear and definite controlled device in the control information and control information of user input, and control sets
The standby 101 knowledge mapping network inquiry according to Fig. 1 to the node that can respond user command might have multiple, for example
The interactive command of user input is " present indoor temperature is how many ", can be found in knowledge mapping network and is temperature dependent
Node can include the device node such as air-conditioning 103, Temperature Humidity Sensor 105, can also including all kinds of temperature datas etc. data
How node, the service path for carrying out Business Processing is determined using the respective nodes for finding, for example, determine " room described in response
Interior temperature is how many " intelligent home device, be technical problem that embodiment of the present invention scheme can solve the problem that.
Fig. 3 is the flow chart of the intelligent home equipment control method of the knowledge based collection of illustrative plates of the embodiment of the present invention one.Shown in Fig. 3
The executive agent of method can be the control device in Fig. 2.The process step of control method shown in Fig. 3 includes:
Step S201:Obtain the interactive command of user input.
Wherein, user can be input into interaction data by input modes such as voice, keyboard or touch-screens in control device,
The interaction data of user input can be that speech data can also be text data.Optionally, the voice collecting on control device
Device receives the interactive voice data of user input, for example, the interactive voice data of user input are " indoor temperature is how many ",
Control device carries out speech recognition to the speech data of user input and obtains the interactive command of user input " indoor temperature is many
It is few ".
Step S202:Each keyword is extracted from the interactive command of user input.
Control device can carry out participle using the segmenting method of natural language to the interactive command of user input, be handed over
Corresponding word segmentation result is mutually ordered, wherein, word segmentation result includes the corresponding all keywords of the interactive command;Further, it is right
The word segmentation result for obtaining is filtered, for example only by word segmentation result with the knowledge mapping network that previously generates in nodename
The consistent or keyword with incidence relation is exported as the keyword extracted from the interactive command of user input.
Example, in Intelligent housing scene, only will appear in the section in smart home field knowledge mapping network
Point word can just be filtered out the keyword output for being used as being extracted from the interactive command of user input.
For example, for interactive command " present indoor temperature is how many ", the keyword for extracting for [" interior ", " temperature ",
" being how many "].
Step S203:Determine each keyword corresponding node in knowledge mapping network.
In the knowledge mapping network corresponding to present invention method intelligent domestic system to be controlled, each is determined
The corresponding node of keyword, the keyword for for example extracting is [" interior ", " temperature ", " being how many "], then in knowledge mapping net
The node that nodename is respectively [" interior ", " temperature ", " being how many "] is searched in network.
Step S204:According to order of each keyword in interactive command, determine that the corresponding node of each keyword exists
Each service path formed in knowledge mapping network.
Optionally, determine that service path of the corresponding node of each keyword in knowledge mapping network includes:
Determine order of each keyword in interactive command, wherein, the order is described each keyword in interaction
The sequencing occurred in order;
The interactive command is mapped in the knowledge according to the corresponding node of each keyword successively according to the order
Each service path formed in collection of illustrative plates network.
For example, determined in knowledge mapping network, " interior " node has three, " temperature " node has two, " is many
It is few " node has three, by each node according to " interior-temperature-be how many " order permutation and combination, the result that each is arranged is true
It is set to a service path formed in knowledge mapping network.
Step S205:Connection between the node in each service path while and during corresponding connection on
Weighted value, determines the cost value of each service path.
In embodiment of the present invention scheme, determining the cost value of above-mentioned any one service path includes:Determine business road
Filial generation value between two nodes adjacent in footpath, wherein, the size A of filial generation between two adjacent nodes value with,
Two nodes of weighted value B and this that side is connected between two nodes belong to the corresponding knowledge mapping network of the service path
Same subgraph probability C product into positive correlation, i.e. A=x*B*C, x is positive count;The service path is included
The cumulative summation of described each filial generation value, obtain the cost value of the service path.
When it is determined that the filial generation between two nodes adjacent in service path is worth, can be specifically:(1) institute is determined
State the weighted value between adjacent two nodes in service path;(2) adjacent two nodes category in the service path is determined
The probability of the same subgraph in the corresponding knowledge mapping network of the service path;(3) by two adjacent sections
Weighted value and described two nodes between point belong to the corresponding same son indicated in collection of illustrative plates network of the service path
The product of the probability of figure is defined as the filial generation value between two adjacent nodes.
In above-mentioned steps (3), determine that adjacent two nodes in the service path belong to the service path corresponding
The probability of the same subgraph in the knowledge mapping network, including:
Step A:Determine the first subgraph in the corresponding knowledge mapping network of the service path;Optionally, for
For two adjacent nodes, first node corresponding subgraph in knowledge mapping network is determined, by first node in knowledge graph
Corresponding subgraph is defined as the first subgraph in spectrum network;Wherein, the first node is its in two adjacent nodes
In one, in two adjacent nodes another be Section Point, the corresponding keyword of Section Point is in interactive command
Input time is later than the input time of the corresponding keyword of first node.
Step B:Determine that the outgoing direction connection side of the first node belongs to the first ratio of first subgraph, wherein,
The outgoing direction connection is in the connection of other nodes in pointing to the knowledge mapping network for the first node;
Specifically, determine that the outgoing direction connection side of first node belongs to the first ratio of the first subgraph, including:Judge each
Whether one destination node is more than two to each path number of the Section Point, and each first object node is the first segment
Each node in addition to second keyword connected described in the outgoing direction connection side of point;Count on the path of the Section Point
The number of first object node of the number more than two;By the first mesh to the path number corresponding to the Section Point more than two
The number for marking node connects the number on side divided by the outgoing direction of the first node, obtains first ratio.
Step C:Determine that the direction connection side that enters of the Section Point in adjacent two nodes in the service path belongs to
Second ratio of first subgraph, wherein, it is described enter direction connection side be that the Section Point points to the knowledge mapping net
The connection side of other nodes in network.
Specifically, determine second ratio that direction connection side belongs to first subgraph that enters of Section Point, including:Judge
Whether each second destination node is more than two to the path number of the first node, and each second destination node is described second
The direction that enters of node connects each node in addition to the first node that side is connected;Count on the path of the first node
The number of second destination node of the number more than two;By the second destination node to the path number of the first node more than two
Number obtains second ratio divided by the number that direction connects side that enters of the Section Point.
Step D:Two adjacent nodes according to first ratio and second ratio-dependent belong to described
The product of the probability of one subgraph, the probability and first ratio and second ratio is into positive correlation.
Optionally, the probability that two adjacent nodes belong to first subgraph is that first ratio and described second are compared
The product of example.
Step S206:The minimum value in each service path cost value is determined, according to the corresponding business road of the minimum value
Footpath determines the intelligent home device of interactive command control.
In embodiment of the present invention scheme, when the control device of intelligent home device receives the interactive command of user input
And when there is no clearly to be controlled the information of intelligent home device in interactive command, interaction life of the control device from user input
Each keyword is extracted in order, and determines that each keyword distinguishes corresponding node in knowledge mapping network;It is determined that each
Individual keyword is distinguished after corresponding node, and order of the control device according to each keyword in interactive command determines each
Keyword distinguishes each service path that corresponding node is formed in knowledge mapping network, afterwards according in each service path
Node between connection while and during corresponding connection on weighted value, determine the cost value of each service path, and according to generation
It is worth the intelligent home device that minimum service path determines interactive command control, it is seen that can using present invention method
Solve it is of the prior art when have multiple how can determine that service path carries out asking for intelligent home device control during responsive node
Topic.
Fig. 4 is the flow chart of the intelligent home equipment control method that the embodiment of the present invention two is based on knowledge mapping.Shown in Fig. 4
The executive agent of method can be the control device in Fig. 2.The process step of method shown in Fig. 4 includes:
Step S301:The interactive command of user input is obtained, for example, in Intelligent housing scene, control device is obtained
The interactive command for taking is " present indoor temperature is how many ", and specific acquisition methods may refer to embodiment one, and here is omitted.
Step S302:Each keyword is extracted from the interactive command of user input, for the interaction life in above-mentioned example
Make " present indoor temperature is how many ", the keyword for extracting is [" interior ", " temperature ", " being how many "], wherein being ordered from interaction
The method of keyword is extracted in order referring to embodiment one, here is omitted.
Step S303:Determine each keyword corresponding node in knowledge mapping network.
For example, when keyword be [" interior ", " temperature ", " being how many "] when, extracted from knowledge mapping network respectively with
Keyword " interior ", " temperature " and " being how many " corresponding node.
The schematic diagram of node corresponding with " interior ", " temperature " and " being how many " is shown such as Fig. 5 A to Fig. 5 D, in Fig. 5 A
The annexation between " interior " node, " temperature " node and " being how many " node is shown into Fig. 5 D, and is connected accordingly
Certain weighted value is allocated on edge fit in advance, specifically, the weighted value connected between node on side is represented between two nodes
The relevance of incidence relation, the relevance between bigger two nodes of weighted value is stronger, between smaller two nodes of weighted value
Relevance is weaker.
Step S304:Corresponding node, generation and each keyword corresponding node of difference are distinguished according to each keyword
Matrix.
In embodiment of the present invention scheme, the corresponding node of each described keyword can constitute a node matrix equation;
Node elements A in the node matrix equation of any one keywordiBjRepresent, AiBjValue be AiNode and BjBetween node
Weighted value on connection side, AiNode represents the corresponding node of current key word, BjNode is the AiThe adjacent node of node,
And the BjThe input time of node is later than the AiThe value of the input time of node, i and j is positive integer.
For example, the keyword " interior " " temperature " " being how many " in above-mentioned example is according to the input sequence in interactive command
Represented with R, P, Q respectively, each keyword inquired in knowledge mapping network is distinguished corresponding node and is respectively:R[r1,
R2, r3], P [p1, p2], Q [q1, q2, q3], wherein r, p, q is respectively the node in the corresponding knowledge mapping network of keyword.
Using the method for above-mentioned generation node matrix equation, obtain the corresponding node matrix equation of keyword R, P, Q and be respectively:
The corresponding node matrix equations of keyword R are
The corresponding node matrix equations of keyword P are
The corresponding node matrix equations of keyword Q are
Wherein, in above three matrix, cost values are the weighted value on connection side between two neighboring node, and the present invention is real
It refers to keyword corresponding to two nodes adjacent on input sequence to apply the two neighboring node in example.
Step S305:Treatment is ranked up to each node matrix equation.
Specifically, for node matrix equation each described, calculate every row node elements and value;According to often row node unit
Element and the descending order of value, adjust the order of each row node.
For example for R:Line1=cost (r1, p1)+cost (r1, p2);Line2=cost (r2, p1)+cost
(r2, p2);Line3=cost (r3, p1)+cost (r3, p2), if line1<line2<Line3 then R '=[line3, line2,
line1].Similarly to each row sequence of P, Q node matrix equation, node matrix equation P ', Q ' are obtained.
Step S306:According to order of each keyword in interactive command, each corresponding node of keyword section is determined
Each service path formed in knowledge mapping network.
Specifically, a node can be chosen from the corresponding node matrix equation of each keyword, each node of selection is pressed
Impinge upon the input sequence in the interactive command and map one service path of composition successively.Each section can be obtained in this way
The dot matrix all service paths to be combined into.For example, respectively from R ', P ', Q ' middle selection one indoor node, a temperature
Node and one are how many nodes, and according to interior-temperature-be that how many Sequential Mappings are a service path.
Step S307:Connection between the node in each service path while and during corresponding connection on
Weighted value, determines the cost value of each service path.
In embodiment of the present invention scheme, the computational methods of the cost value of each service path are:
One cost of service pathIts
In, i, j are two adjacent nodes of input time, and the input time of j is later than the input time of i;
Belong to the probability of same subgraph for node i and node j, represent in the triple being made up of a line and two summits and its
Product of the output of starting point i in the input of the ratio in the subgraph and terminal j in the subgraph, the physics of representative in subgraph
Implication is that two summits belong to an intensity level for subgraph in the triple.
As a example by with (r1, p1) in Fig. 6, Wherein
The determination methods that r1 is linked to the side number for being connected to other other subgraphs are that, for r1, for p1, r1's goes out outgoing direction connection side
Have 4 (X, Y, Z, p1).For X nodes, r1 to X has outgoing direction to connect side, but p1 to X except other lead to without other by r1
Road, then it is assumed that side (r1, X) be one be connected to other other subgraphs in connection, and Y, Z node can be by except r1
Node reaches p1,Similarly p1 it is all enter direction connection side beginning all have path with r1,
The cost value of all service paths is calculated using above-mentioned formula, wherein, calculating the cost value of each service path
When, the weighted value between two neighboring node is obtained from corresponding node matrix equation, if in a service path adjacent two
It is all zero that weighted value between individual node is expert at, then no longer carry out the calculating in follow-up business path, thus reducing business road
The calculating number in footpath, improves service path location efficiency.For example, calculate service path r2-p2-q2 service paths when, r2-p2 it
Between weighted value, the weighted value between p2-q2, the node elements that q2 weighted values are expert at all are zero, then no longer calculate r2-p2 it
Between weighted value, the weighted value between p2-q2, q2 weighted values are expert at, and the business road corresponding to subsequent rows node elements
The cost value in footpath.
Step S308:The minimum value in each service path cost value is determined, according to the corresponding business road of the minimum value
Footpath determines the intelligent home device of interactive command control.
In order to more clearly illustrate the control method of the embodiment of the present invention, present invention also provides one more specifically
Embodiment, including:
(1) interactive command of user input is " present indoor temperature is how many ", the key extracted from interactive command
Word is [" interior ", " temperature ", " being how many "].
(2) found from the knowledge mapping network for previously generating with each keyword corresponding node of difference such as Fig. 6
It is shown including:" interior " node 3, is represented with r, and collection is combined into R;" temperature " node 2, node is p, and node set is P;" it is
How much " node 3, being represented with q, collection is combined into Q, and the corresponding node matrix equation of each keyword is:
The corresponding node matrix equations of keyword R are
The corresponding node matrix equations of keyword P are
The corresponding node matrix equations of keyword Q are
The node matrix equation after node elements assignment and sequence to each node matrix equation is assumed to be:
It is indoorTemperatureIt is how manyThe often row sum to each matrix sorts respectively
Result is interior afterwardsTemperatureIt is how many
(3) it is service path starting point, the business road that the node found from Fig. 6 can be constituted with " interior " keyword
As shown in fig. 7, wherein, in the figure 7, weighted value is that 0 connection side is represented by dashed line between node in footpath.According to formulaIn calculating Fig. 7, the cost of all service paths
Value, and specify 0/0=+ ∞, wherein cos t values are the weighted value on side between node.
Specifically, initial mincost=0, the mincost=tempdisi if tempdisi is more than mincost, final choosing
It is target service path to take the service path representated by the maximum values of the i.e. mincost of path cost minimum.
In this example It is as follows according to step (2) interior joint calculative Path selection of matrix sort result:
Dis1=r1-p1-q1=0.86* (3/4) * (3/3)+0.66* (3/3) * (2/2)=0.645+0.66=1.305;
Because 1.305>Mincost, therefore mincost=1.305
Dis2=r1-p2-q1=0* (0/4) * (0/1)+0* (0/1) * (0/2)=0;Because 0<Mincost, does not change
Mincost values
Dis3=r2-p1-q1=0* (0/2)+0.66* (3/3) * (2/2)=0+0.66=0.66;Because 0.66<
Mincost, mincost values are not changed
Dis4=r2-p2-q1=0* (0/2) (0/1)+0* (0/1) (0/2)=0;Because 0<Mincost, does not change
Mincost values
(4) minimum cost value mincost=1.305 is selected, the path for representing is r1-p1-q1, this path smallest link value
And during all nodes appear at first subgraph, therefore first subgraph of selection enters the business.
Fig. 8 is the structural representation that embodiment of the present invention service path selects processing unit, the processing unit 400, its knot
Structure may include:At least one processor (processor) 401, internal memory (memory) 402, peripheral interface
(peripheralinterface) 403, input/output subsystem (I/Osubsystem) 404, power circuit 405 and order wire
Road 406.
In fig. 8, communication and the data transmission between arrow represents the inscape that can carry out computer system, and it can profit
With high-speed serial bus (high-speed serial bus), parallel bus (parallelbus), storage area network (SAN,
Storage Area Network) and/or other appropriate communication technologys and realize.
Internal memory 402 may include operating system 412 and service path selection handling routine 422.For example, internal memory 402 may include
High-speed random access memory (high-speed random access memory), disk, static RAM
(SPAM), dynamic random access memory (DRAM), read-only storage (ROM), flash memory or non-voltile memory.Internal memory 402 can
Store the program coding that handling routine 422 is selected for operating system 412 and service path, that is to say, that may include processing unit
Software module, instruction set architecture needed for 400 action or the various data outside it.Now, processor 401 or ancillary equipment
Other controllers of the grade of interface 406 can be controlled with the access of internal memory 402 by processor 401.
Peripheral interface 403 can be by the input of processing unit 400 and/or output ancillary equipment and processor 401 and interior
402 are deposited to be combined.Also, input/output subsystem 404 can be by various input/output ancillary equipment and peripheral interface 406
It is combined.For example, input/output subsystem 404 may include display screen, keyboard, mouse, printer or be used for electricity as needed
Depending on, the controller that is combined with peripheral interface 403 of refrigerator, air-conditioning, camera, the ancillary equipment such as various sensors.Specifically
, include being used for ancillary equipment such as TV, refrigerator, air-conditioning, camera, various sensors in input/output subsystem 404
With the controller that peripheral interface 403 is combined.According to another side, input/output periphery also can be without input/output
Subsystem 404 and be combined with peripheral interface 403, i.e. the periphery such as TV, refrigerator, air-conditioning, camera, various sensors sets
It is standby to be also combined with peripheral interface 403 without input/output subsystem 404.
Power circuit 405 can be to all or part of supply electric power of the circuit element of terminal device.For example, power circuit
405 may include power supply, charging system, the power failure more than a cycle such as electric power management system, battery or exchange (AC)
Detection circuit (power failuredetection circuit), power converter or inverter, power state marker character or
For electric power generation, management, any other circuit elements for distributing.
Communication line 406 is communicated using at least one Cycles Interface with other computer systems, such as and main control
System is communicated.
Processor 401 is by implementing the storage executable processing unit of the software module or instruction set architecture in internal memory 402
400 various functions and processing data.That is, processor 401 is by performing basic arithmetic, logic and department of computer science
The input/output calculation of system, may be configured as processing the order of computer program.
The embodiment of Fig. 8 is only an example of processing unit 400 in terminal device, and processing unit 400 can have as follows
Structure or configuration:The partial circuit element shown in Fig. 8 is omitted, or is further equipped with additional circuit element not shown in Fig. 8.
Processing unit shown in Fig. 8 can perform the service path system of selection described in each embodiment of the invention.
Processing unit shown in Fig. 8 can be applied in intelligent home control system, such as the processing unit portion shown in Fig. 8
Administration in a computer, in intelligent home control system, computer and TV, air-conditioning, refrigerator, gate inhibition, mobile phone, monitoring camera and
The home equipments such as Temperature Humidity Sensor are connected, and each terminal device is controlled according to the control method shown in Fig. 3 and Fig. 4
System.
For convenience of description, it is divided into various units with function during description apparatus above to describe respectively.Certainly, this is being implemented
The function of each unit can be realized in same cycle or multiple periodic softwares and/or hardware during invention.
Each cycle embodiment in this specification is described by the way of progressive, identical between each cycle embodiment
Similar part is mutually referring to what each cycle embodiment was stressed is the difference with other embodiment.Especially
Its, for device or system embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, phase
Part is closed to be illustrated referring to the part of embodiment of the method.Apparatus and system embodiment described above is only schematic
, wherein can be as the unit that separating component is illustrated or may not be physically separate, be shown as unit
Part can be or may not be physical location, you can with positioned at a cycle place, or can also be distributed to multiple
On periodic network unit.Some or all of module therein can be according to the actual needs selected to realize this embodiment scheme
Purpose.Those of ordinary skill in the art are without creative efforts, you can to understand and implement.The above is only
Specific embodiment of the invention, it is noted that for those skilled in the art, is not departing from the present invention
On the premise of principle, some improvements and modifications can also be made, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of intelligent home equipment control method of knowledge based collection of illustrative plates, it is characterised in that including:
Each keyword is extracted from the interactive command of user input;
Determine the keyword corresponding node in knowledge mapping network;
According to order of described each keyword in the interactive command, it is determined that the corresponding node of described each keyword is in institute
State each service path formed in knowledge mapping network;
Connection between the node in described each service path while and during the corresponding connection on weighted value,
It is determined that the cost value of each service path;
Determine the minimum value in the cost value, and the interactive command control is determined according to the corresponding service path of the minimum value
The intelligent home device of system.
2. method according to claim 1, it is characterised in that each pass is extracted in the interactive command from user input
Also include before keyword:
Receive the interactive voice data of user input;
Interactive voice data to user input carry out the interactive command that speech recognition obtains user input.
3. method according to claim 1, it is characterised in that according to described each keyword in the interactive command
Sequentially, it is determined that each service path for being formed in the knowledge mapping network of the corresponding node of described each keyword, including:
It is determined that order of described each keyword in the interactive command, wherein, the order is that described each keyword exists
The sequencing occurred in the interactive command;
The corresponding node of described each keyword maps the composition interactive command in the knowledge graph successively according to the order
Each service path formed in spectrum network.
4. the method according to any one of claims 1 to 3, it is characterised in that in each service path described in the basis
The node between connection while and during the corresponding connection on weighted value, it is determined that the cost of each service path
Value, including:
Determine the filial generation value between adjacent two nodes in the service path, wherein, two adjacent nodes it
Between filial generation value size with, between described two nodes connect side weighted value and two described nodes belong to the industry
The product of the probability of the same subgraph in the corresponding knowledge mapping network in business path is into positive correlation;
The cumulative summation of each filial generation value, obtains the cost value of the service path described in including to the service path.
5. method according to claim 4, it is characterised in that two adjacent nodes in the determination service path
Between filial generation value, including:
Determine the weighted value between adjacent two nodes in the service path;
In determining that adjacent two nodes in the service path belong to the corresponding knowledge mapping network of the service path
Same subgraph probability;
Weighted value between two adjacent nodes and described two nodes are belonged into the service path corresponding described
Indicate the filial generation value that the product of the probability of the same subgraph in collection of illustrative plates network is defined as between two adjacent nodes.
6. method according to claim 5, it is characterised in that determine that adjacent two nodes in the service path belong to
The probability of the same subgraph in the corresponding knowledge mapping network of the service path, including:
Determine the first subgraph in the corresponding knowledge mapping network of the service path;
Determine that the outgoing direction connection side of the first node in adjacent two nodes in the service path belongs to first son
First ratio of figure, wherein, outgoing direction connection side is other that the first node points in the knowledge mapping network
The connection side of node;
Determine that the direction connection side that enters of the Section Point in adjacent two nodes in the service path belongs to first son
Second ratio of figure, wherein, it is described enter direction connection side be the Section Point point in the knowledge mapping network other
The connection side of node, input time of the keyword corresponding with the Section Point in the interactive command is later than and described
Input time of the corresponding keyword of one node in the interactive command;
Two adjacent nodes belong to the general of first subgraph according to first ratio and second ratio-dependent
The product of rate, the probability and first ratio and second ratio is into positive correlation.
7. method according to claim 6, it is characterised in that in the corresponding knowledge mapping network of the service path
The first subgraph of middle determination, including:
Determine the first node corresponding subgraph in the knowledge mapping network;
By the first node, corresponding subgraph is defined as the first subgraph in the knowledge mapping network.
8. the method according to claim 6 or 7, it is characterised in that it is described according to first ratio with second ratio
Example determines that two adjacent nodes belong to the probability of first subgraph, including:
Determine that the probability that two adjacent nodes belong to first subgraph is first ratio and second ratio
Product.
9. a kind of intelligent home device control device of knowledge based collection of illustrative plates network, it is characterised in that including:Processor, storage
Device and communication interface, the processor, the memory are connected with the communication interface by communication bus;
The communication interface, the interactive command for receiving user input;
The memory, for store program codes;
The processor is for reading the program code stored in the memory and any in execution such as claim 1 to 8
The intelligent home equipment control method of the knowledge based collection of illustrative plates network described in.
10. a kind of intelligent domestic system, it is characterised in that including:Multiple intelligent home devices and control device, the control set
It is standby to be deployed with control device as claimed in claim 9;
The control device is connected with the multiple intelligent home device respectively, and according to any one of claim 1 to 8 institute
The method stated is controlled to the multiple intelligent home device.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101630314A (en) * | 2008-07-16 | 2010-01-20 | 中国科学院自动化研究所 | Semantic query expansion method based on domain knowledge |
CN101937436A (en) * | 2009-06-29 | 2011-01-05 | 华为技术有限公司 | Text classification method and device |
CN103593792A (en) * | 2013-11-13 | 2014-02-19 | 复旦大学 | Individual recommendation method and system based on Chinese knowledge mapping |
CN104090955A (en) * | 2014-07-07 | 2014-10-08 | 科大讯飞股份有限公司 | Automatic audio/video label labeling method and system |
US20160179965A1 (en) * | 2014-12-19 | 2016-06-23 | International Business Machines Corporation | Information propagation via weighted semantic and social graphs |
CN106126503A (en) * | 2016-07-12 | 2016-11-16 | 海信集团有限公司 | Business scope localization method and terminal |
-
2016
- 2016-11-24 CN CN201611050982.0A patent/CN106713083B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101630314A (en) * | 2008-07-16 | 2010-01-20 | 中国科学院自动化研究所 | Semantic query expansion method based on domain knowledge |
CN101937436A (en) * | 2009-06-29 | 2011-01-05 | 华为技术有限公司 | Text classification method and device |
CN103593792A (en) * | 2013-11-13 | 2014-02-19 | 复旦大学 | Individual recommendation method and system based on Chinese knowledge mapping |
CN104090955A (en) * | 2014-07-07 | 2014-10-08 | 科大讯飞股份有限公司 | Automatic audio/video label labeling method and system |
US20160179965A1 (en) * | 2014-12-19 | 2016-06-23 | International Business Machines Corporation | Information propagation via weighted semantic and social graphs |
CN106126503A (en) * | 2016-07-12 | 2016-11-16 | 海信集团有限公司 | Business scope localization method and terminal |
Non-Patent Citations (1)
Title |
---|
刘莹等: "基于标记的图数据关键词查询方法研究", 《科学技术与工程》 * |
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