CN110390153A - Generation method, device and the equipment of layout structure modification scheme, storage medium - Google Patents
Generation method, device and the equipment of layout structure modification scheme, storage medium Download PDFInfo
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Abstract
Present disclose provides generation method, device and electronic equipment, the storage mediums of a kind of layout structure modification scheme, it is related to field of artificial intelligence, method therein includes: to be labeled to sample layout structure data, to add house type characteristic information and score information to sample layout structure data；Simplify floor plan, sample floor plan and sample layout structure data according to first and generates training sample set；The training that neural network is carried out according to training sample, obtains neural network model；Illustrate information using neural network model and preset house type transformation Acquisition of Decision Rules layout structure modification scheme corresponding at least one house type transformation demand characteristic and comparative information and transformation；Disclosed method, device and electronic equipment, storage medium can intelligently generate the layout structure modification scheme for meeting transformation demand, and provide each scheme and explanation and the comparative information with former layout structure is transformed, and user can be helped to carry out finishing decision.
Description
Technical field
This disclosure relates to field of artificial intelligence more particularly to a kind of generation method of layout structure modification scheme, dress
It sets and electronic equipment, storage medium.
Background technique
During house decoration, many residents have based on house original house type, hold the main knots such as house weight wall not destroying
On the basis of structure, the needs of structure of modification are carried out to house house type in conjunction with the residential needs of resident.Traditional layout structure transformation
Need profession and veteran designer propose improvement and design, ordinary household can not be often competent at.Layout structure transformation needs
Room is measured by Specialty Design teacher, links up the processes such as style preferences, design with user, generally require a large amount of time design drawing
Paper, occupies a large amount of designer's resource, and the design cycle time is long, thing is cumbersome and expensive, does not have general applicability.
Summary of the invention
In order to solve the above-mentioned technical problem, the disclosure is proposed.Embodiment of the disclosure provides a kind of layout structure and changes
Make generation method, device and electronic equipment, the storage medium of scheme.
According to the one aspect of the embodiment of the present disclosure, a kind of generation method of layout structure modification scheme is provided, comprising: obtain
Sample layout structure data corresponding with sample floor plan are taken, the sample layout structure data are labeled, to right
The sample layout structure data addition house type characteristic information and score information；Wherein, the sample floor plan includes: original family
Type figure and the improved floor plan of process；It is corresponding with the sample floor plan based on the sample layout structure data acquisition
First simplifies floor plan；Simplify floor plan, the sample floor plan and the sample layout structure data according to described first
The floor plan that needs are transformed is handled, and is obtained layout structure corresponding at least one house type transformation demand characteristic and is transformed
Scheme and the layout structure modification scheme and the comparative information for needing the floor plan being transformed and transformation illustrate information.
Optionally, simplify floor plan, the sample floor plan and the sample layout structure data according to described first
Generate training sample set；The training that neural network is carried out according to the training sample, obtains neural network model；Utilize the mind
The floor plan be transformed of needs is handled through network model and preset house type transformation decision rule, obtain and at least one
The house type transformation corresponding layout structure modification scheme of demand characteristic and the layout structure modification scheme change with the needs
The comparative information for the floor plan made and transformation illustrate information.
Optionally, described to be transformed what needs were transformed in decision rule using the neural network model and preset house type
Floor plan is handled, and layout structure modification scheme corresponding at least one house type transformation demand characteristic, Yi Jisuo are obtained
It states layout structure modification scheme and the comparative information for needing the floor plan being transformed and transformation illustrates that information includes: acquisition and institute
State the corresponding transformation layout structure data of floor plan for needing to be transformed；Based on the transformation layout structure data acquisition with it is described
The floor plan for needing to be transformed corresponding second simplifies floor plan；Simplify floor plan and the transformation layout structure for described second
Data input the neural network model, and obtain the neural network model output is transformed demand characteristic at least one house type
Corresponding wall reconstruction scheme information, and wall reconstruction corresponding with each wall reconstruction scheme information illustrate information；
The wall reconstruction scheme information is handled using house type transformation decision rule, obtains and is transformed at least one house type
The corresponding layout structure transformation map of demand characteristic；Generate it is described need the floor plan be transformed and the layout structure transformation map it
Between comparative information；Illustrate that the transformation of house type described in acquisition of information illustrates information based on the wall reconstruction.
Optionally, the wall reconstruction scheme information includes: wall reconstruction thermodynamic chart；Wherein, the wall reconstruction heating power
Figure includes: in the information for needing the wall for needing to be transformed in the floor plan be transformed, opposite with the wall that the needs are transformed
The transformation probability answered.
Optionally, described that the wall reconstruction scheme information is handled using house type transformation decision rule, it obtains
Taking layout structure transformation map corresponding at least one house type transformation demand characteristic includes: to optimize preset wall reconstruction to limit
System rule is used as constraint condition, is traversed using monte-carlo search tree algorithm to the wall reconstruction thermodynamic chart, described
The wall for suggesting transformation is determined in the floor plan for needing to be transformed, and is obtained and is met the constraint condition and make and all suggest transformation
The corresponding comprehensive reformation probability of wall is the maximum layout structure transformation map.
Optionally, described based on the sample layout structure data acquisition the first letter corresponding with the sample floor plan
Changing floor plan includes: based on the first load bearing wall information in sample floor plan described in the sample layout structure data acquisition；Base
Described first, which is generated, in the first load bearing wall information simplifies floor plan；Wherein, simplify in floor plan described first and only retain
The door and/or window being arranged on load bearing wall and load bearing wall；It is described to be based on the transformation layout structure data acquisition and the needs
It includes: based on needing to change described in the transformation layout structure data acquisition that the floor plan of transformation corresponding second, which simplifies floor plan,
The second load bearing wall information in the floor plan made；Described second, which is generated, based on the second load bearing wall information simplifies floor plan；Its
In, simplify in floor plan described second and only retains the door and/or window being arranged on load bearing wall and load bearing wall.
Optionally, the neural network model includes: input layer model, middle layer neuron models and output layer
Neuron models；Input of the output of every layer of neuron models as next layer of neuron models；Wherein, the neural network mould
Type is the sub-network structure of multiple neural net layers with full connection structure；The middle layer neuron models are full connection
Layer.
Optionally, the sample layout structure data include: the metope distributed data of house type, load bearing wall distributed data, door
One or more in the high data of window distributed data, area data, layer, position coordinate data；The house type characteristic information packet
It includes: house type spaciousness degree, inhabitation number, storage degree, daylighting degree, the one or more in the building construction time；The house type changes
Making demand characteristic includes: that enhancing stores experience of living, enhances the one or more in comfortable for living experience.
According to the another aspect of the embodiment of the present disclosure, a kind of generating means of layout structure modification scheme are provided, comprising: family
Type labeling module, for obtaining sample layout structure data corresponding with sample floor plan, to the sample layout structure number
According to being labeled, to add house type characteristic information and score information to the sample layout structure data；Wherein, the sample
Floor plan includes: original floor plan and the improved floor plan of process；House type simplifies module, for being based on the sample house type knot
Structure data acquisition corresponding with the sample floor plan first simplifies floor plan；House type processing module, for according to described the
One simplifies at the floor plan that needs are transformed in floor plan, the sample floor plan and the sample layout structure data
Reason obtains and changes at least one house type transformation corresponding layout structure modification scheme of demand characteristic and the layout structure
It makes scheme and the comparative information for needing the floor plan being transformed and transformation illustrates information.
According to the another aspect of the embodiment of the present disclosure, a kind of computer readable storage medium is provided, the storage medium is deposited
Computer program is contained, the computer program is for executing above-mentioned method.
According to the embodiment of the present disclosure in another aspect, providing a kind of electronic equipment, the electronic equipment includes: processor；
For storing the memory of the processor-executable instruction；The processor, for executing above-mentioned method.
Generation method, device and electronics based on disclosure layout structure modification scheme provided by the above embodiment are set
Standby, storage medium generates training sample set and carries out the training of neural network according to training sample, obtains neural network model；
The floor plan be transformed of needs is handled using neural network model and preset house type transformation decision rule, obtain with extremely
A few house type is transformed the corresponding layout structure modification scheme of demand characteristic and layout structure modification scheme and needs to be transformed
Floor plan comparative information and transformation illustrate information；The layout structure modification scheme for meeting transformation demand can be intelligently generated,
And each scheme is provided, explanation and the comparative information with former layout structure is transformed, it is provided for resident's house decoration transformation reasonable
Reference proposition can help user to carry out finishing decision.
Below by drawings and examples, the technical solution of the disclosure is described in further detail.
Detailed description of the invention
The embodiment of the present disclosure is described in more detail in conjunction with the accompanying drawings, the above-mentioned and other purposes of the disclosure,
Feature and advantage will be apparent.Attached drawing is used to provide to be further understood from the embodiment of the present disclosure, and constitutes
Part of specification is used to explain the disclosure together with the embodiment of the present disclosure, does not constitute the limitation to the disclosure.In attached drawing
In, identical reference label typically represents same parts or step.
Fig. 1 is the flow chart of one embodiment of the generation method of the layout structure modification scheme of the disclosure；
Fig. 2 is the house type that needs are transformed in one embodiment of the generation method of the layout structure modification scheme of the disclosure
The flow chart that figure is handled；
Fig. 3 A is the structural schematic diagram of one embodiment of the generating means of the layout structure modification scheme of the disclosure；Fig. 3 B
For the structural schematic diagram of another embodiment of the generating means of the layout structure modification scheme of the disclosure；
Fig. 4 is the structure chart of one embodiment of the electronic equipment of the disclosure.
Specific embodiment
It describes in detail below with reference to the accompanying drawings according to an example embodiment of the present disclosure.Obviously, described embodiment is only
It is only a part of this disclosure embodiment, rather than the whole embodiments of the disclosure, it should be appreciated that the disclosure is not by described herein
The limitation of example embodiment.
It should also be noted that unless specifically stated otherwise, the opposite cloth of the component and step that otherwise illustrate in these embodiments
It sets, numerical expression and the unlimited the scope of the present disclosure processed of numerical value.
It will be understood by those skilled in the art that the terms such as " first ", " second " in the embodiment of the present disclosure are only used for distinguishing
Different step, equipment or module etc., neither represent any particular technology meaning, also do not indicate that the inevitable logic between them is suitable
Sequence.
It should also be understood that in the embodiments of the present disclosure, " multiple " can refer to two or more, and "at least one" can be with
Refer to one, two or more.
It should also be understood that for the either component, data or the structure that are referred in the embodiment of the present disclosure, clearly limit no or
Person may be generally understood to one or more in the case where context provides opposite enlightenment.
In addition, term "and/or" in the disclosure, is only a kind of incidence relation for describing affiliated partner, indicates may exist
Three kinds of relationships can be indicated such as A and/or B: individualism A, exist simultaneously A and B, these three situations of individualism B.In addition,
Character "/" in the disclosure typicallys represent the relationship that forward-backward correlation object is a kind of "or".
It should also be understood that the disclosure highlights the difference between each embodiment to the description of each embodiment,
Same or similar place can be referred to mutually, for sake of simplicity, no longer repeating one by one.
Simultaneously, it should be appreciated that for ease of description, the size of various pieces shown in attached drawing is not according to reality
Proportionate relationship draw.
Be to the description only actually of at least one exemplary embodiment below it is illustrative, never as to the disclosure
And its application or any restrictions used.
Technology, method and apparatus known to person of ordinary skill in the relevant may be not discussed in detail, but suitable
In the case of, the technology, method and apparatus should be considered as part of specification.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, then in subsequent attached drawing does not need that it is further discussed.
Embodiment of the disclosure can be applied to the electronic equipments such as terminal device, computer system, server, can be with crowd
Mostly other general or special-purpose computing system environment or configuration operate together.Suitable for terminal device, computer system or clothes
The example of well-known terminal device, computing system, environment and/or configuration that the business electronic equipments such as device are used together include but
Be not limited to: personal computer system, thin client, thick client computer, hand-held or laptop devices, is based on server computer system
The system of microprocessor, set-top box, programmable consumer electronics, NetPC Network PC, minicomputer system, mass computing
Machine system and the distributed cloud computing technology environment including above-mentioned any system etc..
The electronic equipments such as terminal device, computer system, server can be in the department of computer science executed by computer system
It is described under the general context of system executable instruction (such as program module).In general, program module may include routine, program, mesh
Beacon course sequence, component, logic, data structure etc., they execute specific task or realize specific abstract data type.Meter
Calculation machine systems/servers can be implemented in distributed cloud computing environment.In distributed cloud computing environment, task can be by
What the remote processing devices being linked through a communication network executed.In distributed cloud computing environment, program module can be located at packet
On the Local or Remote computing system storage medium for including storage equipment.
Application is summarized
In implementing the present disclosure, inventors have found that during house decoration, traditional layout structure, which is transformed, to be needed
Want profession and veteran designer propose improvement and design, layout structure transformation need to measure by Specialty Design teacher room, with
User links up the processes such as style preferences, design, generally requires a large amount of time design drawing, occupies a large amount of design qualified teachers
Source, the design cycle time is long, thing is cumbersome and expensive, does not have general applicability.
The disclosure provide layout structure modification scheme generation method, generate training sample set and according to training sample into
The training of row neural network, obtains neural network model；Decision rule is transformed using neural network model and preset house type
The floor plan that needs are transformed is handled, and is obtained layout structure corresponding at least one house type transformation demand characteristic and is transformed
The comparative information for the floor plan that scheme and layout structure modification scheme and needs are transformed and transformation illustrate information；It can be intelligent
The layout structure modification scheme for meeting transformation demand is generated, and each scheme is provided, explanation and pair with former layout structure is transformed
Than information, reasonable reference proposition is provided for resident's house decoration transformation.
Illustrative methods
Fig. 1 is the flow chart of one embodiment of the generation method of the layout structure modification scheme of the disclosure, as shown in Figure 1
Method comprising steps of S101-S103.Each step is illustrated respectively below.
S101 obtains sample layout structure data corresponding with sample floor plan, carries out to sample layout structure data
Mark, to add house type characteristic information and score information to sample layout structure data.
Sample floor plan includes: original floor plan and the improved floor plan of process etc..For original floor plan and process
Improved floor plan can be for by the sample floor plan of the generations such as CAD modeling tool, sample floor plan can be polar plot
Deng there are many house types element, the sample floor plans such as wall, window to be provided with sample layout structure data, sample family in sample floor plan
Type structured data includes: metope distributed data, load bearing wall distributed data, door and window distributed data, area data, the high number of layer of house type
According to, position coordinate data etc..
Sample layout structure data can be labeled using manual type, house type characteristic information includes house type spaciousness
Degree, inhabitation number, storage degree, daylighting degree, building construction time etc. can also give a mark to sample layout structure data, example
Such as, load bearing wall distribution corresponding for multiple sample floor plans, door and window distribution etc. are given a mark.
S102 simplifies floor plan based on sample layout structure data acquisition corresponding with sample floor plan first.
A variety of methods can be used by obtaining the corresponding with sample floor plan first simplified floor plan.For example, being based on sample
The first load bearing wall information in layout structure data acquisition sample floor plan generates first based on the first load bearing wall information and simplifies family
Type figure, first simplifies floor plan can be only comprising the floor plan of the door and/or window that are arranged on load bearing wall and load bearing wall, for most simple family
Type figure；Alternatively, the first simplified floor plan can be corresponding with sample floor plan if not having load bearing wall information in sample floor plan
Original floor plan etc..
S103 simplifies the family that needs are transformed in floor plan, sample floor plan and sample layout structure data according to first
Type figure is handled, and layout structure modification scheme corresponding at least one house type transformation demand characteristic and house type are obtained
The comparative information for the floor plan that structure of modification scheme and needs are transformed and transformation illustrate information.
According to first simplify needs are transformed in floor plan, sample floor plan and sample layout structure data floor plan into
Row processing method can there are many.For example, simplifying floor plan, sample floor plan and sample layout structure data according to first
Training sample set is generated, the training of neural network is carried out according to training sample, obtains neural network model.Simplify house type for first
Figure, the training sample data of sample floor plan and the sample layout structure data being labeled as neural network model, instruction
Practice neural network model, neural network model can be a variety of neural network models.
It is handled using the floor plan that needs are transformed in neural network model and preset house type transformation decision rule,
Obtain at least one house type corresponding layout structure modification scheme of transformation demand characteristic and layout structure modification scheme and
The comparative information for the floor plan for needing to be transformed and transformation illustrate information.
Demand, which is transformed, in house type to be enhancing storage inhabitation experience, enhancing comfortable for living experience etc..Obtain user need into
The house floor plan of row decoration renovation is transformed needs using neural network model and preset house type transformation decision rule
Floor plan is handled, and is obtained and the corresponding layout structure transformations such as enhancing storage inhabitation experience, enhancing comfortable for living experience
Scheme, and provide a user layout structure modification scheme and the comparative information for the floor plan being transformed and transformation is needed to illustrate information,
Transformation illustrates that information can be capable of providing and a variety of meet different house types transformation demand characteristics to illustrate for wall reconstruction
The comparative information of one or more layout structure modification schemes and layout structure modification scheme and the floor plan for needing to be transformed and
Transformation illustrates information.
Fig. 2 is the house type that needs are transformed in one embodiment of the generation method of the layout structure modification scheme of the disclosure
The flow chart that figure is handled, method as shown in Figure 2 is comprising steps of S201-S206.Each step is said respectively below
It is bright.
S201 obtains transformation layout structure data corresponding with the floor plan for needing to be transformed.
User can be inputted or be selected the floor plan for needing to be transformed by front end page.The family that the needs of user's input are transformed
Type figure can be for by the floor plan of the generations such as CAD modeling tool, the floor plan for needing to be transformed can be polar plot etc., Neng Goucong
Transformation layout structure data are obtained in the floor plan for needing to be transformed.Transformation layout structure data include: the metope distribution number of house type
According to, load bearing wall distributed data, door and window distributed data, area data, the high data of layer, position coordinate data etc..If user inputs
The floor plan be transformed of needs be not then to be looked into from the sample floor plan of storage by the floor plan of the generations such as CAD modeling tool
Sample floor plan corresponding with the floor plan for needing to be transformed is found, and obtains transformation layout structure number from sample floor plan
According to.
S202 simplifies house type based on transformation layout structure data acquisition corresponding with the floor plan for needing to be transformed second
Figure.
A variety of methods can be used by obtaining the second simplified floor plan corresponding with the floor plan being transformed is needed.For example, base
The second load bearing wall information in the floor plan that transformation layout structure data acquisition needs to be transformed, it is raw based on the second load bearing wall information
Simplify floor plan at second.Second simplified floor plan only includes the door and/or window being arranged on load bearing wall and load bearing wall, is most simple family
Type figure；Alternatively, not having load bearing wall information in the floor plan of transformation if necessary, second, which simplifies floor plan, can be and need to be transformed
The corresponding original floor plan of floor plan etc..
S203 simplifies floor plan for second and transformation layout structure data inputs neural network model, obtains neural network
The wall reconstruction scheme information corresponding at least one house type transformation demand characteristic of model output, and change with each wall
It makes the corresponding wall reconstruction of scheme information and illustrates information.
Simplify floor plan for second and transformation layout structure data input neural network model, it is defeated to obtain neural network model
Storing experience of living with enhancing, enhancing the corresponding wall reconstruction scheme informations such as comfortable for living experience out, obtains nerve net
The wall reconstruction corresponding for each wall reconstruction scheme information of network model output illustrates information, and wall reconstruction illustrates information
The information such as position, length including the wall added or removed, and the wall for adding or removing illustrate information etc..
S204 handles wall reconstruction scheme information using house type transformation decision rule, obtains and at least one family
The corresponding layout structure transformation map of demand characteristic is transformed in type.
It is easypro that living with enhancing storage for being exported using house type transformation decision rule to neural network model is experienced, enhancing is lived
Aptamer the corresponding wall reconstruction scheme information such as is tested and is handled, and obtains and lives experience, enhancing comfortable for living with enhancing storage
The corresponding layout structure transformation maps such as experience.
S205 generates the comparative information needed between the floor plan being transformed and layout structure transformation map.
Comparative information can there are many, can be for wall contrast schematic diagram etc..It can be added or removed based on needs
The information such as position, the length of wall, generate and the wall difference between the floor plan being transformed and layout structure transformation map needed to believe
Breath generates wall contrast schematic diagram based on wall differential information.
S206 illustrates that the transformation of acquisition of information house type illustrates information based on wall reconstruction.For example, based on the wall added or removed
Body illustrates that information etc. generates house type transformation and illustrates information, and house type transformation illustrates that information may include: that the purpose for increasing wall A is
In order to increase housing region etc..
Layout structure transformation map, comparative information, house type transformation can be illustrated that information is supplied to user, be selected by user
It selects.Analysis comparison is carried out by the building structure to transformation front and back, provides reasonable reference proposition for resident's house decoration transformation,
Achieve the effect that user is helped to carry out finishing decision.
In one embodiment, there are many wall reconstruction scheme informations.For example, neural network model output with enhancing
Corresponding wall reconstruction thermodynamic charts such as storage inhabitation experience, enhancing comfortable for living experience etc..Wall reconstruction thermodynamic chart is included in
The information for the wall for needing to be transformed in the floor plan for needing to be transformed, transformation probability corresponding with the wall for needing to be transformed.It needs
The information of the wall of transformation includes: information such as the position of the wall added or removed, length etc..
A variety of methods can be used by being handled using house type transformation decision rule wall reconstruction scheme information.For example,
Using preset wall reconstruction optimization restriction rule as constraint condition, using monte-carlo search tree algorithm to wall reconstruction heating power
Figure is traversed, and determines the wall for suggesting transformation in needing the floor plan be transformed, acquisition meet constraint condition and make with all
It is recommended that the corresponding comprehensive reformation probability of wall of transformation is maximum layout structure transformation map.
Restriction rule can there are many rules for preset wall reconstruction optimization.For example, passing through integer programming (Integer
Programming) the axis point position of algorithm optimization wall, the axis point position of the wall based on optimization is as constraint condition.It uses
Wall in wall reconstruction thermodynamic chart is that node constructs monte-carlo search tree.The search of Monte Carlo tree is also known as random sampling or system
Count test method, Monte Carlo tree searching method due to can true simulation actual physics process, be to be managed with probability and statistics
It is the method that many computational problems are solved using random number by a kind of calculation method based on method.It is asked what is solved
Topic is associated with certain probabilistic model, to obtain the approximate solution of problem.
Monte-carlo search tree is traversed by monte-carlo search algorithm, selectes and builds in wall reconstruction thermodynamic chart
The wall for discussing transformation, i.e., from constructed monte-carlo search tree selection meet constraint condition and meanwhile make and whole suggestions
The corresponding comprehensive reformation probability of the wall of transformation is maximum layout structure transformation map, for example, comprehensive reformation probability can be
The sum of whole transformation probability of wall for suggesting transformation of selection, weighted sum etc..
In one embodiment, neural network model can use many algorithms model foundation, such as floornet algorithm
Model etc..Neural network model includes input layer model, middle layer neuron models and output layer neuron model, often
Input of the output of layer neuron models as next layer of neuron models, neural network model can be for full connection structures
Multiple neural net layers sub-network structure, middle layer neuron models be full articulamentum.
Simplify floor plan, sample floor plan (house type characteristic information and score information including mark) and sample according to first
This layout structure data generate training sample set, and the training of neural network is carried out according to training sample, obtains neural network model.
Simplify floor plan, transformation layout structure data input neural network model for corresponding with the floor plan for needing to be transformed second,
It can be exported by neural network model and store the opposite wall reconstructions such as experience of living, enhancing comfortable for living experience with enhancing
Thermodynamic chart, and wall reconstruction corresponding with the wall of each needs transformation in wall reconstruction thermodynamic chart illustrate information etc..
Exemplary means
In one embodiment, as shown in Figure 3A, the disclosure provides a kind of generating means of layout structure modification scheme, packet
Include: house type labeling module 301, house type simplify module 302 and house type processing module 305.House type labeling module 301 obtains and sample
The corresponding sample layout structure data of floor plan, are labeled sample layout structure data, to sample layout structure
Data add house type characteristic information and score information, and sample floor plan includes: original floor plan and the improved floor plan of process
Deng.
House type simplifies module 302 and is based on sample layout structure data acquisition the first simplified family corresponding with sample floor plan
Type figure.House type processing module 305 simplifies floor plan, sample floor plan and sample layout structure data according to first and changes to needs
The floor plan made is handled, and layout structure modification scheme corresponding at least one house type transformation demand characteristic is obtained, with
And layout structure modification scheme illustrates information with the comparative information and transformation for needing the floor plan being transformed.
In one embodiment, as shown in Figure 3B, the generating means of layout structure modification scheme further include: sample generates mould
Block 303 and model training module 304.Sample generation module 303 simplifies floor plan, sample floor plan and sample family according to first
Type structured data generates training sample set.Model training module 304 carries out the training of neural network according to training sample, obtains mind
Through network model.
House type processing module 305 is transformed needs using neural network model and preset house type transformation decision rule
Floor plan is handled, and layout structure modification scheme corresponding at least one house type transformation demand characteristic and family are obtained
The comparative information for the floor plan that type structure of modification scheme and needs are transformed and transformation illustrate information.
In one embodiment, house type labeling module 301 obtains transformation house type corresponding with the floor plan for needing to be transformed
Structured data.House type simplifies module 302 based on transformation layout structure data acquisition corresponding with the floor plan be transformed of needs the
Two simplify floor plan.House type processing module 305 simplifies floor plan for second and transformation layout structure data input neural network mould
Type obtains the wall reconstruction scheme information corresponding at least one house type transformation demand characteristic of neural network model output,
And wall reconstruction corresponding with each wall reconstruction scheme information illustrates information.
House type processing module 305 using house type transformation decision rule wall reconstruction scheme information is handled, obtain with
The corresponding layout structure of at least one house type transformation demand characteristic changes, and generates the floor plan for needing to be transformed and layout structure is transformed
Comparative information between figure illustrates that the transformation of acquisition of information house type illustrates information based on wall reconstruction.
In one embodiment, house type simplifies module 302 based in sample layout structure data acquisition sample floor plan
First load bearing wall information generates first based on the first load bearing wall information and simplifies floor plan, wherein simplifies in floor plan only first
Retain the door and/or window being arranged on load bearing wall and load bearing wall.House type simplifies module 302 and is based on transformation layout structure data acquisition
The second load bearing wall information in the floor plan for needing to be transformed generates second based on the second load bearing wall information and simplifies floor plan, wherein
Simplify in floor plan second and only retains the door and/or window being arranged on load bearing wall and load bearing wall.
In one embodiment, wall reconstruction scheme information includes: wall reconstruction thermodynamic chart etc.；Wall reconstruction thermodynamic chart packet
It includes: the information for the wall for needing to be transformed in needing the floor plan being transformed, transformation probability corresponding with the wall for needing to be transformed
Deng.House type processing module 305 uses monte-carlo search tree using preset wall reconstruction optimization restriction rule as constraint condition
Algorithm traverses wall reconstruction thermodynamic chart, and the wall for suggesting transformation is determined in the floor plan for needing to be transformed, and obtains and meets
Constraint condition simultaneously makes the maximum layout structure transformation map of comprehensive reformation probability corresponding with the wall of transformation is all suggested.
Fig. 4 is the structure chart of one embodiment of the electronic equipment of the disclosure, as shown in figure 4, electronic equipment 41 includes one
A or multiple processors 411 and memory 412.
Processor 411 can be central processing unit (CPU) or have data-handling capacity and/or instruction execution capability
Other forms processing unit, and can control the other assemblies in electronic equipment 41 to execute desired function.
Memory 412 may include one or more computer program products, and computer program product may include various
The computer readable storage medium of form, such as volatile memory and/or nonvolatile memory.Volatile memory, example
It such as, may include: random access memory (RAM) and/or cache memory (cache) etc..Nonvolatile memory, example
It such as, may include: read-only memory (ROM), hard disk and flash memory etc..It can store one on computer readable storage medium
Or multiple computer program instructions, processor 411 can run program instruction, to realize each embodiment of the disclosure above
Layout structure modification scheme generation method and/or other desired functions.In a computer-readable storage medium also
It can store the various contents such as input signal, signal component, noise component(s).
In one example, electronic equipment 41 can also include: input unit 413 and output device 414 etc., these groups
Part passes through the interconnection of bindiny mechanism's (not shown) of bus system and/or other forms.In addition, the input equipment 413 can also wrap
Include such as keyboard, mouse etc..The output device 414 can be output to the outside various information.The output equipment 414 may include
Such as display, loudspeaker, printer and communication network and its remote output devices connected etc..
Certainly, to put it more simply, illustrated only in Fig. 4 it is some in component related with the disclosure in the electronic equipment 41,
The component of such as bus, input/output interface etc. is omitted.In addition to this, according to concrete application situation, electronic equipment 41 is also
It may include any other component appropriate.
Other than the above method and equipment, embodiment of the disclosure can also be computer program product comprising meter
Calculation machine program instruction, it is above-mentioned " exemplary that computer program instructions make processor execute this specification when being run by processor
According to the step in the generation method of the layout structure modification scheme of the various embodiments of the disclosure described in method " part.
Computer program product can be write with any combination of one or more programming languages for executing sheet
The program code of open embodiment operation, programming language includes object oriented program language, such as Java, C++
Deng, it further include conventional procedural programming language, such as " C " language or similar programming language.Program code can
Fully to execute, partly execute on a user device on the user computing device, be executed as an independent software package,
Part executes on a remote computing or completely in remote computing device or server on the user computing device for part
It executes.
In addition, embodiment of the disclosure can also be computer readable storage medium, it is stored thereon with computer program and refers to
It enables, the computer program instructions make the processor execute above-mentioned " the exemplary side of this specification when being run by processor
According to the step in the generation method of the layout structure modification scheme of the various embodiments of the disclosure described in method " part.
The computer readable storage medium can be using any combination of one or more readable mediums.Readable medium can
To be readable signal medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can include but is not limited to electricity, magnetic, light, electricity
Magnetic, the system of infrared ray or semiconductor, device or device, or any above combination.Readable storage medium storing program for executing it is more specific
Example (non exhaustive enumerates) may include: electrical connection with one or more conducting wire, portable disc, hard disk, deposit at random
It is access to memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable
Compact disk read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The basic principle of the disclosure is described in conjunction with specific embodiments above, however, it is desirable to, it is noted that in the disclosure
The advantages of referring to, advantage, effect etc. are only exemplary rather than limitation, must not believe that these advantages, advantage and effect etc. are this public affairs
The each embodiment opened is prerequisite.In addition, detail disclosed above is merely to exemplary act on and be easy to understand
Effect, rather than limit, above-mentioned details be not intended to limit the disclosure be must be realized using above-mentioned concrete details.
Generation method, device and electronic equipment, the storage medium of layout structure modification scheme in above-described embodiment, root
Simplify floor plan, sample floor plan and sample layout structure data according to first and generates training sample set；According to training sample into
The training of row neural network, obtains neural network model；Decision rule is transformed using neural network model and preset house type
The floor plan that needs are transformed is handled, and is obtained layout structure corresponding at least one house type transformation demand characteristic and is transformed
The comparative information for the floor plan that scheme and layout structure modification scheme and needs are transformed and transformation illustrate information；It can be intelligent
The layout structure modification scheme for meeting transformation demand is generated, and each scheme is provided, explanation and pair with former layout structure is transformed
Than information, reasonable reference proposition is provided for resident's house decoration transformation, user can be helped to carry out finishing decision, save design
Qualified teachers source and design cycle time can simplify Decoration Design link process and the decision that can be fitted up for user provides conveniently,
Reduce the cost of finishing.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with its
The difference of its embodiment, the same or similar part cross-reference between each embodiment.For system embodiment
For, since it is substantially corresponding with embodiment of the method, so being described relatively simple, referring to the portion of embodiment of the method in place of correlation
It defends oneself bright.
Device involved in the disclosure, device, equipment, system block diagram only as illustrative example and be not intended to
It is required that or hint must be attached in such a way that box illustrates, arrange, configure.As those skilled in the art will appreciate that
, it can be connected by any way, arrange, configure these devices, device, equipment and system.Such as " comprising ", " include,
The word of " having " etc. is open vocabulary, is referred to " including but not limited to ", and can be used interchangeably with it.Word used herein above
Remittance "or" and "and" refer to vocabulary "and/or", and can be used interchangeably with it, unless it is not such that context, which is explicitly indicated,.Here institute
The vocabulary " such as " used refers to phrase " such as, but not limited to ", and can be used interchangeably with it.
Disclosed method and device may be achieved in many ways.For example, can by software, hardware, firmware or
Software, hardware, firmware any combination realize disclosed method and device.The said sequence of the step of for the method
Merely to be illustrated, the step of disclosed method, is not limited to sequence described in detail above, special unless otherwise
It does not mentionlet alone bright.In addition, in some embodiments, also the disclosure can be embodied as to record program in the recording medium, these programs
Including for realizing according to the machine readable instructions of disclosed method.Thus, the disclosure also covers storage for executing basis
The recording medium of the program of disclosed method.
It may also be noted that each component or each step are can to decompose in the device of the disclosure, device and method
And/or reconfigure.These decompose and/or reconfigure the equivalent scheme that should be regarded as the disclosure.
The above description of disclosed aspect is provided, so that any person skilled in the art can make or use this
It is open.To those skilled in the art to various modifications in terms of these etc., it is readily apparent, and fixed herein
The General Principle of justice can be applied to other aspects, without departing from the scope of the present disclosure.Therefore, the disclosure is not intended to be limited to
The aspect being shown here, but according to principle disclosed herein and the consistent widest range of novel feature.
In order to which purpose of illustration and description has been presented for above description.In addition, this description is not intended to the reality of the disclosure
Example is applied to be restricted in form disclosed herein.Although already discussed above multiple exemplary aspects and embodiment, ability
Its certain modifications, modification, change, addition and sub-portfolio will be recognized in field technique personnel.
Claims (10)
1. a kind of generation method of layout structure modification scheme, comprising:
Sample layout structure data corresponding with sample floor plan are obtained, the sample layout structure data are labeled,
To add house type characteristic information and score information to the sample layout structure data；Wherein, the sample floor plan includes:
Original floor plan and the improved floor plan of process；
Simplify floor plan based on the sample layout structure data acquisition corresponding with the sample floor plan first；
Simplify what needs were transformed in floor plan, the sample floor plan and the sample layout structure data according to described first
Floor plan is handled, and layout structure modification scheme corresponding at least one house type transformation demand characteristic, Yi Jisuo are obtained
It states layout structure modification scheme and the comparative information for needing the floor plan being transformed and transformation illustrates information.
It is described to simplify floor plan, the sample floor plan and described according to described first 2. the method as described in claim 1
The floor plan that needs are transformed in sample layout structure data carries out processing
Simplify floor plan, the sample floor plan and the sample layout structure data according to described first and generates training sample
Collection；
The training that neural network is carried out according to the training sample, obtains neural network model；
It is handled using the floor plan that needs are transformed in the neural network model and preset house type transformation decision rule,
It obtains and the corresponding layout structure modification scheme of demand characteristic and the layout structure transformation side is transformed at least one house type
Case and the comparative information for needing the floor plan being transformed and transformation illustrate information.
3. method according to claim 2, described to be advised using the neural network model and preset house type transformation decision
The floor plan that then needs are transformed is handled, and is obtained layout structure corresponding at least one house type transformation demand characteristic and is changed
It makes scheme and the layout structure modification scheme and the comparative information for needing the floor plan being transformed and transformation illustrates information
Include:
Obtain transformation layout structure data corresponding with the floor plan for needing to be transformed；
Simplify floor plan with the floor plan for needing to be transformed corresponding second based on the transformation layout structure data acquisition；
Simplify floor plan for described second and the transformation layout structure data input the neural network model, obtains the mind
Through network model output with the corresponding wall reconstruction scheme information of at least one house type transformation demand characteristic, and with it is each
The corresponding wall reconstruction of wall reconstruction scheme information illustrates information；
The wall reconstruction scheme information is handled using house type transformation decision rule, is obtained and at least one house type
The corresponding layout structure transformation map of demand characteristic is transformed；
Generate the comparative information between the needs floor plan being transformed and the layout structure transformation map；
Illustrate that the transformation of house type described in acquisition of information illustrates information based on the wall reconstruction.
4. method as claimed in claim 3, wherein
The wall reconstruction scheme information includes: wall reconstruction thermodynamic chart；
Wherein, the wall reconstruction thermodynamic chart include: the wall for needing to need to be transformed in the floor plan be transformed information,
Transformation probability corresponding with the wall for needing to be transformed.
5. method as claimed in claim 4, described to be believed using house type transformation decision rule the wall reconstruction scheme
Breath is handled, and is obtained layout structure transformation map corresponding at least one house type transformation demand characteristic and is included:
Using preset wall reconstruction optimization restriction rule as constraint condition, using monte-carlo search tree algorithm to the wall
Transformation thermodynamic chart is traversed, and is determined at least one optimal transformation wall in the floor plan for needing to be transformed, is obtained and meet
The constraint condition simultaneously changes the maximum layout structure of comprehensive reformation probability corresponding with all optimal transformation walls
Make figure.
6. method as claimed in claim 3, described to be based on the sample layout structure data acquisition and the sample floor plan
Corresponding first, which simplifies floor plan, includes:
Based on the first load bearing wall information in sample floor plan described in the sample layout structure data acquisition；
Described first, which is generated, based on the first load bearing wall information simplifies floor plan；Wherein, simplify in floor plan described first
Only retain the door and/or window being arranged on load bearing wall and load bearing wall；
It is described that family is simplified with the floor plan for needing to be transformed corresponding second based on the transformation layout structure data acquisition
Type figure includes:
Based on the second load bearing wall information in the floor plan for needing to be transformed described in the transformation layout structure data acquisition；
Described second, which is generated, based on the second load bearing wall information simplifies floor plan；Wherein, simplify in floor plan described second
Only retain the door and/or window being arranged on load bearing wall and load bearing wall.
7. method according to claim 2, wherein
The neural network model includes: input layer model, middle layer neuron models and output layer neuron model；
Input of the output of every layer of neuron models as next layer of neuron models；
Wherein, the neural network model is the sub-network structure of multiple neural net layers with full connection structure；In described
Interbed neuron models are full articulamentum.
8. a kind of generating means of layout structure modification scheme, comprising:
House type labeling module, for obtaining sample layout structure data corresponding with sample floor plan, to the sample house type
Structured data is labeled, to add house type characteristic information and score information to the sample layout structure data；Wherein, institute
Stating sample floor plan includes: original floor plan and the improved floor plan of process；
House type simplifies module, for based on the sample layout structure data acquisition and the sample floor plan corresponding first
Simplify floor plan；
House type processing module, for simplifying floor plan, the sample floor plan and the sample house type knot according to described first
The floor plan that needs are transformed in structure data is handled, and obtains house type knot corresponding at least one house type transformation demand characteristic
The comparative information and transformation explanation of structure modification scheme and the layout structure modification scheme and the floor plan for needing to be transformed
Information.
9. a kind of computer readable storage medium, the storage medium is stored with computer program, and the computer program is used for
Execute the described in any item methods of the claims 1-7.
10. a kind of electronic equipment, the electronic equipment include:
Processor；For storing the memory of the processor-executable instruction；
The processor, for reading the executable instruction from the memory, and it is above-mentioned to realize to execute described instruction
The described in any item methods of claim 1-7.
Priority Applications (8)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910637659.0A CN110390153B (en) | 2019-07-15 | 2019-07-15 | Method, device and equipment for generating house type structure improvement scheme and storage medium |
| US16/929,082 US10956626B2 (en) | 2019-07-15 | 2020-07-14 | Artificial intelligence systems and methods for interior design |
| CA3147320A CA3147320A1 (en) | 2019-07-15 | 2020-07-15 | Artificial intelligence systems and methods for interior design |
| PCT/CN2020/102215 WO2021008566A1 (en) | 2019-07-15 | 2020-07-15 | Artificial intelligence systems and methods for interior design |
| JP2022502901A JP7325602B2 (en) | 2019-07-15 | 2020-07-15 | Artificial intelligence system and method for interior design |
| AU2020315029A AU2020315029B2 (en) | 2019-07-15 | 2020-07-15 | Artificial intelligence systems and methods for interior design |
| US17/180,415 US20210173968A1 (en) | 2019-07-15 | 2021-02-19 | Artificial intelligence systems and methods for interior design |
| US17/180,377 US20210173967A1 (en) | 2019-07-15 | 2021-02-19 | Artificial intelligence systems and methods for interior design |
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| CN201910637659.0A CN110390153B (en) | 2019-07-15 | 2019-07-15 | Method, device and equipment for generating house type structure improvement scheme and storage medium |
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