CN109145379A - A kind of building storey height figure intelligence drawing system and management method - Google Patents
A kind of building storey height figure intelligence drawing system and management method Download PDFInfo
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- CN109145379A CN109145379A CN201810801748.XA CN201810801748A CN109145379A CN 109145379 A CN109145379 A CN 109145379A CN 201810801748 A CN201810801748 A CN 201810801748A CN 109145379 A CN109145379 A CN 109145379A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/40—Image enhancement or restoration by the use of histogram techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
Abstract
The invention belongs to computer CAD drawing technique field, a kind of building storey height figure intelligence drawing system and management method are disclosed, UAV flight's monocular camera typing building data information is utilized；The building storey height data of typing are accurately identified, construction zone is extracted；Design data is carried out according to the building storey height data of typing；Corresponding building storey height model is constructed according to the data of design；Textures layout design is carried out to the building storey height model made；Building storey height model data after design is stored；Show the building storey height modelling effect figure drawn.The present invention utilizes human-computer conversational mode by data inputting module, reduces system complexity and cost；The present invention can provide the precision of picture by smoothing processing and gradient calculating, promote picture clarity；The characteristic of the brightness of the even image of uneven illumination can be balanced in conjunction with noise classification.
Description
Technical field
The invention belongs to computer CAD architectural drawing technical fields more particularly to a kind of building storey height figure intelligence to draw
System and management method processed.
Background technique
Currently, the prior art commonly used in the trade is such that
Building is the general name of building and structures.It is people to meet social life needs, utilizes grasped object
Matter technological means, and drawn with certain scientific law.
Existing mobile application be generally basede on H5 (i.e. HTML5, hypertext markup language 5) show buildings model, first by
Server parsing buildings model file obtains geometric data, then by network transmission to Web page, web front end is utilized
A kind of JavaScript (literal translation formula scripting language) analytic geometry data obtain building geometrical model, then (write entirely with WebGL
Web Graphics Library is a kind of 3D drafting standards) it renders buildings model and is shown.
Since performance capabilities is poor on mobile terminals by WebGL, picture Caton is not smooth when human-computer interaction, especially for
Extensive buildings model easily causes browser crash, can not even show that therefore, existing three-dimensional building model is in mobile terminal
Bandwagon effect it is unsatisfactory, user experience is poor.
In conclusion problem of the existing technology is:
Existing building nitride layer drawing process is poor to the related data recognition accuracy of building；
Accurate simulation is unable to the graph data of building simultaneously, analog rate is slow and stability is poor, is highly prone to the external world
Factor influences, and robustness is bad；It influences to draw effect.
In the prior art, virtual buildings model can carry out it is advanced parsing and analysis, as green building energy spectrometer,
Calorimetric analysis, pipeline conflict inspection, safety analysis etc., the usually security performance and ring from the corresponding buildings model of whole detection
Guaranteed cost has certain limitation, may influence the drafting accuracy of buildings model.
When image is by noise pollution, tradition enhancing algorithm is easy for failing, and image effect is poor, and clarity is not high.
The feedback lacked to security situation is drawn in building storey height figure intelligence at present, cannot treat different safety with a certain discrimination
The problem of type.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of building storey height figure intelligence drawing systems.
The invention is realized in this way a kind of building storey height figure intelligence drawing system management method, the building
Layer height schemes intelligent drawing system management method
Utilize UAV flight's monocular camera typing building data information；The image of acquisition is utilized into Y=-0.299R+
0.587G+0.114B is transformed into gray level image；Wherein, Y: pixel value, R: red color components, G: green components, B: blue component；
Picture smooth treatment is carried out to gray level image, then carries out gradient calculating；It calculates between specific pixel and adjacent pixel
The degree of brightness value is poor；The pixel of image is divided into several figure layers according to brightness value, the boundary of the image in each figure layer by
Closed curve is constituted；The figure layer minimum for brightness and the maximum figure layer of brightness, advanced column hisgram equalization processing, then go
Except noise；For other figure layers, first remove noise, then carry out histogram equalization processing, will it is processed after several institutes
It states figure layer and merges into an enhanced images；
The building storey height data of typing are accurately identified, construction zone is extracted；Building storey height data into
During row accurately identifies, determines the deflection probability for obtaining corresponding construction zone, construct transition state process；
It is analyzed by computer and obtains the success of most latter two evaluation state policy, strategy failure；
Corresponding Markov state figure is constructed, built-up area area image is constructed and is extracted.
X0For original state, X1, X2, X3……XiFor by X0Pass through the state that may be shifted after safety analysis rule；
P01, P02, P03……P0iFor by X0To X1, X2, X3……XiProbability, Xi+1, Xi+2For finally by computer point
Two states obtained after analysis respectively represent successful strategies and failure strategy；
r1,i+1, r1,i+2For X1To Xi+1, Xi+2Probability, r2,i+1, r2,i+2For X2To Xi+1, Xi+2Probability ... ri,i+1,
ri,i+2For XiTo Xi+1, Xi+2Probability, from probability obtain construction zone calculative strategy efficiency, safety, analysis state transfer
Matrix:
In a matrix, p is from status transition probability of state, and r is to absorb probability of state, the following form of the relationship of p and r:
Fundamental matrix F:
F=(I-Q)-1
It is as follows to absorb matrix B:
B=FR=(I-Q)-1×R；
Design data is carried out according to the building storey height data of typing；
Corresponding building storey height model is constructed according to the data of design；
Further, the building storey height figure intelligence drawing system management method further comprises:
Textures layout design is carried out to the building storey height model made；
Building storey height model data after design is stored；
Show the building storey height modelling effect figure drawn.
Further, the circular in gradient calculating: the specific pixel of the clipping image of smoothing, coordinate (a, b)
Brightness value when being expressed as f (a, b), use expression formula shown below to calculate the gradient vector of all pixels.
Gradient vector indicates the physical quantity of the degree difference of brightness value between specific pixel and adjacent pixel；It is based onShown in gradient vector x ingredient value andShown in
Gradient vector y ingredient value, pass throughMiddle institute
The expression formula shown calculates the direction θ of gradient vector；
The gradient in standard picture processing is calculated by the discretization of image data to calculate, and uses institute in following formula
The gradient between differential calculation adjacent pixel in the expression formula shown；
The pixel of image is divided into several figure layers according to brightness value, the boundary of the image in each figure layer is bent by closure
Line is constituted, and is specifically included: assuming that the brightness value i=I (x, y) of each pixel of image I, by image I with one group of threshold value i1, i2,
I3 points are I0 figure layer, I1 figure layer, I2 figure layer and I3 figure layer；
For the I0 figure layer, wherein the brightness value i of each pixel meets: 0≤i < i1；
For the I1 figure layer, wherein the brightness value i of each pixel meets: i1≤i < i2；
For the I2 figure layer, wherein the brightness value i of each pixel meets: i2≤i < i3；
For the I3 figure layer, wherein the brightness value i of each pixel meets: i3≤i≤255.
I=I0+I1+I2+I3 is equivalent to 4 layers of film superposition, and the boundary of each tomographic image is made of closed curve；
Several described figure layers after will be processed merge into an enhanced images, specifically include: the I0 is schemed
Layer, I1 figure layer, I2 figure layer, I3 figure layer merge into a width enhancing figure according to formula I=I0 × j0+I1 × j1+I2 × j2+I3 × j3
Picture, j0, j1, j2, j3 are nonlinear factor or linear coefficient；Wherein, j=a × s+b, s=cr γ, a, b are coefficient and when j is
Different when j0, j1, j2, j3, s is index calibration function, and c, r and γ are normal number.Particularly, in s=cr γ, when
When c takes 1, γ to take different value Γ, cluster conversion curve is obtained, when c=1, the conversion curve of different γ values；
As γ < 1, narrowband is inputted dark value and is mapped to Broadband emission value by power transform, and broadband input bright values are mapped to
Narrowband output valve；
As γ > 1, broadband is inputted dark value and is mapped to narrowband output valve by power transform, and input bright values in narrowband are mapped to
Broadband emission value；
It is direct ratio linear transformation as γ=1；
There are the picture of light non-uniform illumination, shade a large amount of details in need for night, light holds very much
Easy overexposure；Using point four layers of γ value for shade layer less than 1；Enhance dark place vision data analysis ability；For bright
Part layer, the calibration value γ value used is greater than 1, so that the contrast inside light enhances.
Further, the determining deflection probability for obtaining corresponding construction zone, constructing transition state includes building
Object area quantizing rule and construction zone evaluation rule.
Further, the construction zone quantizing rule includes:
Safety evaluation index quantization:
The quantification of targets parameter of selection is defined as S, wherein each factor definition is (s0, s1, s2 ... ...), and to every
Kind factor assigns corresponding weighted value (n0, n1, n2 ... ...), then the safe total value of the algorithm are as follows:
S=s0*n0+s1*n1+s2*n2 ...；
Efficiency evaluation index quantization:
Quantization parameter is selected to be defined as E, wherein each factor definition is (e0, e1, e2 ... ...), and to every kind of factor
Corresponding weighted value (m0, m1, m2 ... ...) is assigned, then the efficiency total value of algorithm are as follows:
E=e0*m0+e1*m1+e2*m2 ...；
Every kind of regular strategy is ranked up, using the value of S/E as scalar, illustrates that safety is best with efficiency close to 1,
Greater than the highly-safe low efficiency of 1 explanation, illustrate that safety is inefficient high less than 1, it is corresponding general according to being divided with a distance from 1
Rate, it is smaller from 1 remoter probability, it is bigger from 1 nearlyr probability；
The construction zone evaluation rule includes:
Specific formula is as follows:
P1=w1*50%+w2*50%
P2=1-P1
It is good that P1 represents construction zone security situation, and P2 represents that construction zone security situation is poor, and w1 represents meter
The analysis of calculation machine, w2 represent computer analysis.
The building storey height figure intelligence drawing system manager is realized another object of the present invention is to provide a kind of
The computer program of method.
The building storey height figure intelligence drawing system manager is realized another object of the present invention is to provide a kind of
The information data processing terminal of method.
Another object of the present invention is to provide a kind of computer readable storage mediums, including instruction, when it is in computer
When upper operation, so that computer executes the building storey height figure intelligence drawing system management method.
The building storey height figure intelligence drawing system manager is realized another object of the present invention is to provide a kind of
The building storey height figure intelligence drawing system of method, building storey height figure intelligence drawing system include:
Data inputting module, connect with data identification module, typing building data information；
Data identification module is connect with data module, central processing module, quasi- for carrying out to the building data of typing
Really identification, extracts construction zone；
Central processing module, with data inputting module, data identification module, design module, modeling module, layout design mould
Block, data memory module, display module connection, work normally for controlling modules；
Module is designed, is connect with central processing module, for carrying out Drawing Design according to the building data of typing；
Modeling module is connect with central processing module, for constructing corresponding model according to the data of design；
Layout design module, connect with central processing module, for carrying out the output of A3 (A4) drawing to the model made
Design；
Data memory module is connect with central processing module, for by treated, building model data to be stored；
Display module is connect with central processing module, the building storey height graph model for being drawn by display display
Effect picture.
Another object of the present invention is to provide a kind of carrying building storey height figure intelligence drawing system buildings to draw
Figure platform.
In conclusion advantages of the present invention and good effect are as follows:
The present invention utilizes UAV flight's monocular camera typing building data information；By the image of acquisition using Y=-
0.299R+0.587G+0.114B is transformed into gray level image；Wherein, Y: pixel value, R: red color components, G: green components, B: blue
Color ingredient；Picture smooth treatment is carried out to gray level image, then carries out gradient calculating；It calculates in specific pixel and adjacent pixel
Between brightness value degree it is poor；The pixel of image is divided into several figure layers according to brightness value, the image in each figure layer
Boundary is made of closed curve；The figure layer minimum for brightness and the maximum figure layer of brightness, at advanced column hisgram equalization
Reason, then remove noise；For other figure layers, first remove noise, if then carry out histogram equalization processing, will it is processed after
The dry figure layer merges into an enhanced images；
The present invention can provide the precision of picture by smoothing processing and gradient calculating, promote picture clarity；Using straight
Square figure equalization algorithm execution efficiency height, the feature good to soft image reinforcing effect, can balance in conjunction with noise classification
The pixel of image is divided into several figure layers according to brightness value, and is keeping being connected to by the characteristic of the brightness of the even image of uneven illumination
Property it is every layer constant in implement noise classification removal, original image each section is handled respectively using algorithms of different, by result into
After row geometric superposition, final image is obtained, the global luminance difference of image is reduced, enhances picture contrast, enhance figure
The dark portion details of picture remains the highlights details of image substantially, simultaneously effective inhibits noise, improve visibility.
It is various that the present invention extracts certification, authorization, access, transmission, storage etc. according to virtual condition inside state repository
Security algorithm to obtain optimal safety, and keeps resource distribution most reasonable, that is, guarantees that the security strategy used is safety
And it is efficient, and efficiency and peace are successively carried out to used security strategy by using markoff process building evaluation model
Two steps of full evaluation, system and user's evaluation are evaluated, and the result evaluated twice is as basic data in order to which user selects safety
Used when tactful, the resource that can be saved to the maximum extent, improve the safety of building storey height figure identify, and can provide suitably it is reasonable
More humane selection.System of the invention realizes intelligentized requirement.
Detailed description of the invention
Fig. 1 is building storey height figure intelligence drawing system structure chart provided in an embodiment of the present invention.
In figure: 1, data inputting module；2, data identification module；3, central processing module；4, module is designed；5, mould is modeled
Block；6, layout design module；7, data memory module；8, display module.
Fig. 2 is building storey height figure intelligence drawing system management method flow chart provided in an embodiment of the present invention.
Fig. 3 is Markov state figure provided in an embodiment of the present invention；
Fig. 4 is ordinary user's security strategy choice experiment figure provided in an embodiment of the present invention.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
As shown in Figure 1, building storey height figure intelligence drawing system provided in an embodiment of the present invention, comprising:
Data inputting module 1 is connect with data identification module 2, typing building data information；
Data identification module 2 is connect with data module, central processing module, for the building data progress to typing
It accurately identifies, extracts construction zone；
Central processing module 3, with data inputting module, data identification module, design module, modeling module, layout design
Module, data memory module, display module connection, work normally for controlling modules；
Module 4 is designed, is connect with central processing module, for carrying out Drawing Design according to the building data of typing；
Modeling module 5, connect with central processing module, for constructing corresponding model according to the data of design；
Layout design module 6, connect with central processing module, defeated for carrying out A3 (A4) drawing to the model made
It designs out；
Data memory module 7, connect with central processing module, for by treated, building model data to be deposited
Storage；
Display module 8, connect with central processing module, the building storey height graph model for being drawn by display display
Effect picture.
When the present invention is drawn, believed by data inputting module 1 using UAV flight's monocular camera typing building data
Breath；It is accurately identified by building data of the data identification module 2 to typing, extracts construction zone；Central processing
3 Scheduling Design module 4 of module carries out design data according to the building data of typing；By modeling module 5 according to the number of design
According to the corresponding model of building；Textures layout design is carried out by 6 pairs of the layout design module models made；It is stored by data
Module 7 stores the building model data after layout design；Finally, the building drawn by the display of display module 8
Modelling effect figure.
Below with reference to concrete analysis, the invention will be further described.
Such as Fig. 2, building storey height figure intelligence drawing system management method provided in an embodiment of the present invention, comprising:
S101: UAV flight's monocular camera typing building data information is utilized；
S102: the building storey height data of typing are accurately identified, construction zone is extracted；
S103: design data is carried out according to the building storey height data of typing；
S104: corresponding building storey height model is constructed according to the data of design；
S105: textures layout design is carried out to the building storey height model made；
S106: the building storey height model data after design is stored；
S107: the building storey height modelling effect figure of drafting is shown.
Wherein,
The image of acquisition is utilized into Y=-0.299R+0.587G+0.114B, is transformed into gray level image；Wherein, Y: pixel
Value, R: red color components, G: green components, B: blue component；Picture smooth treatment is carried out to gray level image, then carries out gradiometer
It calculates；The degree for calculating the brightness value between specific pixel and adjacent pixel is poor；The pixel of image is divided into according to brightness value
The boundary of several figure layers, the image in each figure layer is made of closed curve；The figure layer minimum for brightness and brightness are most
Big figure layer, advanced column hisgram equalization processing, then remove noise；
For other figure layers, first remove noise, then carry out histogram equalization processing, will it is processed after several institutes
It states figure layer and merges into an enhanced images；
The building storey height data of typing are accurately identified, construction zone is extracted；Building storey height data into
During row accurately identifies, determines the deflection probability for obtaining corresponding construction zone, construct transition state process；
It is analyzed by computer and obtains the success of most latter two evaluation state policy, strategy failure；
Such as Fig. 3, corresponding Markov state figure is constructed, construct built-up area area image and is extracted.
X0For original state, X1, X2, X3……XiFor by X0Pass through the state that may be shifted after safety analysis rule；
P01, P02, P03……P0iFor by X0To X1, X2, X3……XiProbability, Xi+1, Xi+2For finally by computer point
Two states obtained after analysis respectively represent successful strategies and failure strategy；
r1,i+1, r1,i+2For X1To Xi+1, Xi+2Probability, r2,i+1, r2,i+2For X2To Xi+1, Xi+2Probability ... ri,i+1,
ri,i+2For XiTo Xi+1, Xi+2Probability, from probability obtain construction zone calculative strategy efficiency, safety, analysis state transfer
Matrix:
In a matrix, p is from status transition probability of state, and r is to absorb probability of state, the following form of the relationship of p and r:
Fundamental matrix F:
F=(I-Q)-1
It is as follows to absorb matrix B:
B=FR=(I-Q)-1×R；
Circular in gradient calculating: the specific pixel of the clipping image of smoothing, the brightness of coordinate (a, b)
When value is expressed as f (a, b), the gradient vector of all pixels is calculated using expression formula shown below.
Gradient vector indicates the physical quantity of the degree difference of brightness value between specific pixel and adjacent pixel；It is based onShown in gradient vector x ingredient value andShown in
Gradient vector y ingredient value, pass throughMiddle institute
The expression formula shown calculates the direction θ of gradient vector；
The gradient in standard picture processing is calculated by the discretization of image data to calculate, and uses institute in following formula
The gradient between differential calculation adjacent pixel in the expression formula shown；
The pixel of image is divided into several figure layers according to brightness value, the boundary of the image in each figure layer is bent by closure
Line is constituted, and is specifically included: assuming that the brightness value i=I (x, y) of each pixel of image I, by image I with one group of threshold value i1, i2,
I3 points are I0 figure layer, I1 figure layer, I2 figure layer and I3 figure layer；
For the I0 figure layer, wherein the brightness value i of each pixel meets: 0≤i < i1；
For the I1 figure layer, wherein the brightness value i of each pixel meets: i1≤i < i2；
For the I2 figure layer, wherein the brightness value i of each pixel meets: i2≤i < i3；
For the I3 figure layer, wherein the brightness value i of each pixel meets: i3≤i≤255.
I=I0+I1+I2+I3 is equivalent to 4 layers of film superposition, and the boundary of each tomographic image is made of closed curve；
Several described figure layers after will be processed merge into an enhanced images, specifically include: the I0 is schemed
Layer, I1 figure layer, I2 figure layer, I3 figure layer merge into a width enhancing figure according to formula I=I0 × j0+I1 × j1+I2 × j2+I3 × j3
Picture, j0, j1, j2, j3 are nonlinear factor or linear coefficient；Wherein, j=a × s+b, s=cr γ, a, b are coefficient and when j is
Different when j0, j1, j2, j3, s is index calibration function, and c, r and γ are normal number.Particularly, in s=cr γ,
When c takes 1, γ to take different value Γ, cluster conversion curve is obtained, when c=1, the conversion curve of different γ values；
As γ < 1, narrowband is inputted dark value and is mapped to Broadband emission value by power transform, and broadband input bright values are mapped to
Narrowband output valve；
As γ > 1, broadband is inputted dark value and is mapped to narrowband output valve by power transform, and input bright values in narrowband are mapped to
Broadband emission value；
It is direct ratio linear transformation as γ=1；
There are the picture of light non-uniform illumination, shade a large amount of details in need for night, light holds very much
Easy overexposure；Using point four layers of γ value for shade layer less than 1；Enhance dark place vision data analysis ability；For bright
Part layer, the calibration value γ value used is greater than 1, so that the contrast inside light enhances.
The determining deflection probability for obtaining corresponding construction zone, constructing transition state includes construction zone amount
Change rule and construction zone evaluation rule.
The construction zone quantizing rule includes:
Safety evaluation index quantization:
The quantification of targets parameter of selection is defined as S, wherein each factor definition is (s0, s1, s2 ... ...), and to every
Kind factor assigns corresponding weighted value (n0, n1, n2 ... ...), then the safe total value of the algorithm are as follows:
S=s0*n0+s1*n1+s2*n2 ...；
Efficiency evaluation index quantization:
Quantization parameter is selected to be defined as E, wherein each factor definition is (e0, e1, e2 ... ...), and to every kind of factor
Corresponding weighted value (m0, m1, m2 ... ...) is assigned, then the efficiency total value of algorithm are as follows:
E=e0*m0+e1*m1+e2*m2 ...；
Every kind of regular strategy is ranked up, using the value of S/E as scalar, illustrates that safety is best with efficiency close to 1,
Greater than the highly-safe low efficiency of 1 explanation, illustrate that safety is inefficient high less than 1, it is corresponding general according to being divided with a distance from 1
Rate, it is smaller from 1 remoter probability, it is bigger from 1 nearlyr probability；
The construction zone evaluation rule includes:
Specific formula is as follows:
P1=w1*50%+w2*50%
P2=1-P1
It is good that P1 represents construction zone security situation, and P2 represents that construction zone security situation is poor, and w1 represents meter
The analysis of calculation machine, w2 represent computer analysis.
Application effect of the invention is described further below with reference to emulation.
1, simulated environment and platform extension building:
The embodiment of the present invention carries out emulation experiment using emulation tool Cloudsim, and the operating system of use is
Windows2003, CloudSim version are CloudSim-3.0, and the version of JDK is jdk1.8.0_25.
(1) simulated environment
Simulated environment is configured, simulated environment is as follows: 10 servers, wherein six buildings respectively as tactical management
Computing system management platform in region is respectively account number safety library, User Status library, certification and Authorized Library, Encryption Algorithm library, storage
Scheme Security library and security policy manager library, remaining two are storage server；Emulating number of users is 200, wherein 100 use
Family is administrator, and in addition 100 are ordinary user；
(2) emulation platform is extended
Cloudsim platform, which needs to extend, is allowed to have these functions.Correspondingly existed according to the structure of Cloudsim
Org.cloudbus.cloudsim packet is lower to add Account.java, State.java, Authentication.java,
The strategy source program such as Encryption.java, Storagescheme.java, and the corresponding class of these programs is made an amendment, it compiles
It translates and ultimately produces new Cloudsim platform.
2, experiment simulation test and interpretation of result
(1) experiment purpose
This experiment is primarily to the security strategy of verifying construction zone calculating and the feasibility and entirety of evaluation model
Performance.The experiment is to construct four kinds of status safety libraries according to ordinary user and administrator, is built by these four state repositories
Vertical user corresponds to all strategies, carries out the quantization of efficiency and safety value to these strategies and determines its probability, addition system is commented
Valence and user's evaluation obtain every kind of tactful evaluation probability, construct the state transition probability square based on markoff process
Battle array obtains efficient, safety and the highest strategy of evaluation from the matrix, ordinary user and administrator is selected to upload 100M number
According to the basic act as experiment, two kinds of parameters of resource of time required for more this behavior and consumption do performance test,
It obtains corresponding data, detailed analysis is done to illustrate the practicability of security strategy and evaluation model to these data, and have
There is safe and efficient and evaluation preferable.
(2) experimental program
Experimental program of the invention is as follows:
Step1: four kinds of status safety libraries of building ordinary user and administrator, such as the following table 2, shown in 3:
Table 2: ordinary user's status safety table
Table 3: administrator's status safety table
The security policy database for going out 2 kinds of user types that construction zone calculates respectively from table 2 and table 3 is ordinary user PB
(PB0, PB1, PB2... ...) and administrator PB (PB0, PB1, PB2... ...), these libraries are four kinds of state repositories in table 2 and table 3
Any combination, in order to test convenient therefrom several for testing, the ordinary user of building according to the sequence selection of safety and efficiency
PB table and administrator PB table such as the following table 4, shown in table 5:
Table 4: ordinary user's PB table
| PB0 | CS0,AA0,EA0,SS0 |
| PB1 | CS0,AA1,EA1,SS0 |
| PB2 | CS0,AA1,EA1,SS1 |
| PB3 | CS2,AA2,EA2,SS1 |
| PB4 | CS2,AA1,EA2,SS1 |
| PB5 | CS3,AA2,EA2,SS2 |
| PB6 | CS3,AA3,EA3,SS2 |
Table 5: administrator's PB table
| PB0 | CS0,AA0,EA0,SS0 |
| PB1 | CS0,AA1,EA1,SS0 |
| PB2 | CS1,AA1,EA1,SS1 |
| PB3 | CS2,AA2,EA2,SS1 |
| PB4 | CS2,AA1,EA2,SS1 |
| PB5 | CS3,AA2,EA2,SS2 |
| PB6 | CS3,AA3,EA3,SS2 |
Step 2: the PB using the quantizing rule of safety and efficiency, the PB probability and administrator that calculate separately out user is general
Rate, the probability calculated in this way is the quantization transition probability of the safety and efficiency of every kind of PB strategy, then for from X0Turn to X1, X2,
X3……XiProbability.
Step 3: it using the evaluation rule of safety and efficiency, calculates separately out ordinary user and administrator comments system
Valence probability is used as from X1, X2, X3……XiIt is transferred to Xi+1, Xi+2Probability.
Step 4: the transfer matrix based on markoff process is constructed by the probability of Step 2 and Step 3, therefrom
It obtains the maximum value of the probability of success, is then considered as safety, efficiency optimization by obtained maximum value, and evaluate best PB, and
All PB are sorted according to the case where safety, efficiency, evaluation, are recorded in database.
Step 5: using the algorithm in the various libraries of 3 strategy of table 2 and table as task, it is allocated to Cloudsim Simulation Application
In CCDCSMP.java program, every time access need to undergo four kinds of tasks that four algorithms are used as in the library PB.
Step 6: 100 person-times of ordinary users and 100 person-times of administrators are used to upload base of the 100M as experiment respectively
Plinth behavior is the alternative condition of user with the result of Step 4, use the time of time of whole process, number of users and consumption as
Experiment parameter, the datagram for respectively obtaining experiment are as shown in Figure 2,3.
Step 7: selecting number of users respectively on the basis of 6 Step is X-axis, and the resource utilization of cloud computing is (CPU, interior
Deposit, the comprehensive resources such as bandwidth) it is illustrated in fig. 4 shown below as Y-axis, the datagram for respectively obtaining experiment.
3, experimental result and analysis
Above experiment is analyzed, in Fig. 4, the available security strategy of ordinary user has PB0, PB1, PB2, PB3,
PB4, PB5, PB6Seven kinds altogether, PB in an experiment6There is no ordinary user's selections, analyze the reason is that PB6Strategy is due to its shape
The Certificate Authority in state library, transmission, encryption storage scheduling algorithm it is all more complicated and also it is time-consuming to cost spent by ordinary user simultaneously
It is unworthy selecting this strategy；Almost without security strategy algorithm and time-consuming the smallest PB0Also it selects less, illustrates that ordinary user is general
There is Information Security demand；PB2With PB3It is respectively 20 and 37 that the number of policy selection relatively more, both strategies it is time-consuming compared with
It is few, and security algorithm is also proper.
The alternative algorithm of administrator same one shares seven kinds, but PB0And PB6Algorithm management person does not select,
The reason for this is that one is that security strategy is too low, one is that security strategy is higher, and selecting is then at most PB3And PB4Strategy, but
On the whole administrator is higher than the security level that ordinary user requires, and is also compared using the number of more complex algorithm more.
The utilization rate and number choice relation of cloud computing resources are used by experimental verification ordinary user and administrator,
It can be concluded that the security strategy more than selection number is usually the PB of the higher such as ordinary user of utilization rate from figure3And administrator
PB3Respectively 0.78 and 0.85, use the less ordinary user PB of security strategy0With administrator PB1Its resource utilization
Although higher, it is also less than the PB of ordinary user3With the PB of administrator3Resource utilization.
From experiment above it can be concluded that by using the security strategy algorithm that construction zone calculates, corresponding user's choosing can be made
Policing algorithm reliable, safe, high-efficient, that resource utilization is good is selected, and embodies the practicability of the strategy, to save money
Safety is improved in source, and the features such as can protrude user's evaluation.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (10)
1. a kind of building storey height figure intelligence drawing system management method, which is characterized in that the building storey height figure intelligence
Changing drawing system management method includes:
Utilize UAV flight's monocular camera typing building data information；The image of acquisition is utilized into Y=-0.299R+
0.587G+0.114B is transformed into gray level image；Wherein, Y: pixel value, R: red color components, G: green components, B: blue component；
Picture smooth treatment is carried out to gray level image, then carries out gradient calculating；It calculates between specific pixel and adjacent pixel
The degree of brightness value is poor；The pixel of image is divided into several figure layers according to brightness value, the boundary of the image in each figure layer by
Closed curve is constituted；The figure layer minimum for brightness and the maximum figure layer of brightness, advanced column hisgram equalization processing, then go
Except noise；
For other figure layers, first remove noise, then carry out histogram equalization processing, will it is processed after several described figures
Layer merges into an enhanced images；
The building storey height data of typing are accurately identified, construction zone is extracted；Building storey height data carry out quasi-
Really in identification, determines the deflection probability for obtaining corresponding construction zone, construct transition state process；
It is analyzed by computer and obtains the success of most latter two evaluation state policy, strategy failure；
Corresponding Markov state figure is constructed, built-up area area image is constructed and is extracted.
X0For original state, X1, X2, X3……XiFor by X0Pass through the state that may be shifted after safety analysis rule；
P01, P02, P03……P0iFor by X0To X1, X2, X3……XiProbability, Xi+1, Xi+2Finally to be obtained after computer is analyzed
Two states taken respectively represent successful strategies and failure strategy；
r1,i+1, r1,i+2For X1To Xi+1, Xi+2Probability, r2,i+1, r2,i+2For X2To Xi+1, Xi+2Probability ... ri,i+1, ri,i+2For
XiTo Xi+1, Xi+2Probability, obtain the efficiency of construction zone calculative strategy, safety, analysis state-transition matrix from probability:
In a matrix, p is from status transition probability of state, and r is to absorb probability of state, the following form of the relationship of p and r:
Fundamental matrix F:
F=(I-Q)-1
It is as follows to absorb matrix B:
B=FR=(I-Q)-1×R；
Design data is carried out according to the building storey height data of typing；
Corresponding building storey height model is constructed according to the data of design.
2. building storey height figure intelligence drawing system management method as described in claim 1, which is characterized in that the building
Nitride layer height figure intelligence drawing system management method further comprises:
Textures layout design is carried out to the building storey height model made；
Building storey height model data after design is stored；
Show the building storey height modelling effect figure drawn.
3. building storey height figure intelligence drawing system management method as described in claim 1, which is characterized in that gradient calculates
In circular: the specific pixel of the clipping image of smoothing, when the brightness value of coordinate (a, b) is expressed as f (a, b),
The gradient vector of all pixels is calculated using expression formula shown below.
Gradient vector indicates the physical quantity of the degree difference of brightness value between specific pixel and adjacent pixel；It is based onShown in gradient vector x ingredient value andShown in
Gradient vector y ingredient value, pass throughMiddle institute
The expression formula shown calculates the direction θ of gradient vector；
It calculates the gradient in standard picture processing by the discretization of image data to calculate, and using shown in following formula
The gradient between differential calculation adjacent pixel in expression formula；
The pixel of image is divided into several figure layers according to brightness value, the boundary of the image in each figure layer is by closed curve structure
At specifically including: assuming that the brightness value i=I (x, y) of each pixel of image I, by image I with one group of threshold value i1, i2, i3 point
For I0 figure layer, I1 figure layer, I2 figure layer and I3 figure layer；
For the I0 figure layer, wherein the brightness value i of each pixel meets: 0≤i < i1；
For the I1 figure layer, wherein the brightness value i of each pixel meets: i1≤i < i2；
For the I2 figure layer, wherein the brightness value i of each pixel meets: i2≤i < i3；
For the I3 figure layer, wherein the brightness value i of each pixel meets: i3≤i≤255.
I=I0+I1+I2+I3 is equivalent to 4 layers of film superposition, and the boundary of each tomographic image is made of closed curve；
Several described figure layers after will be processed merge into an enhanced images, specifically include: the I0 figure layer, I1 are schemed
Layer, I2 figure layer, I3 figure layer merge into an enhanced images according to formula I=I0 × j0+I1 × j1+I2 × j2+I3 × j3, j0,
J1, j2, j3 are nonlinear factor or linear coefficient；Wherein, j=a × s+b, s=cr γ, a, b be coefficient and when j be j0, j1,
Different when j2, j3, s is index calibration function, and c, r and γ are normal number.Particularly, in s=cr γ, when c takes 1,
When γ takes different value Γ, cluster conversion curve is obtained, when c=1, the conversion curve of different γ values；
As γ < 1, narrowband is inputted dark value and is mapped to Broadband emission value by power transform, and broadband input bright values are mapped to narrowband
Output valve；
As γ > 1, broadband is inputted dark value and is mapped to narrowband output valve by power transform, and input bright values in narrowband are mapped to broadband
Output valve；
It is direct ratio linear transformation as γ=1；
There are the picture of light non-uniform illumination, shade a large amount of details in need for night, light was easy to
It exposes；Using point four layers of γ value for shade layer less than 1；Enhance dark place vision data analysis ability；For light
Layer, the calibration value γ value used is greater than 1, so that the contrast inside light enhances.
4. building storey height figure intelligence drawing system management method as described in claim 1, which is characterized in that
The determining deflection probability for obtaining corresponding construction zone, constructing transition state includes construction zone quantization rule
Then with construction zone evaluation rule.
5. building storey height figure intelligence drawing system management method as claimed in claim 4, which is characterized in that the building
Object area quantizing rule includes:
Safety evaluation index quantization:
The quantification of targets parameter of selection is defined as S, wherein each factor definition be (s0, s1, s2 ... ...), and to every kind because
Element assigns corresponding weighted value (n0, n1, n2 ... ...), then the safe total value of the algorithm are as follows:
S=s0*n0+s1*n1+s2*n2 ...；
Efficiency evaluation index quantization:
Quantization parameter is selected to be defined as E, wherein each factor definition is (e0, e1, e2 ... ...), and is assigned to every kind of factor
Corresponding weighted value (m0, m1, m2 ... ...), then the efficiency total value of algorithm are as follows:
E=e0*m0+e1*m1+e2*m2 ...；
Every kind of regular strategy is ranked up, using the value of S/E as scalar, illustrates that safety is best with efficiency close to 1, is greater than
The highly-safe low efficiency of 1 explanation illustrates that safety is inefficient high less than 1, according to dividing corresponding probability with a distance from 1,
It is smaller from 1 remoter probability, it is bigger from 1 nearlyr probability；
The construction zone evaluation rule includes:
Specific formula is as follows:
P1=w1*50%+w2*50%
P2=1-P1
It is good that P1 represents construction zone security situation, and P2 represents that construction zone security situation is poor, and w1 represents computer
Analysis, w2 represent computer analysis.
6. a kind of meter for realizing building storey height figure intelligence drawing system management method described in Claims 1 to 5 any one
Calculation machine program.
7. a kind of letter for realizing building storey height figure intelligence drawing system management method described in Claims 1 to 5 any one
Cease data processing terminal.
8. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer is executed as weighed
Benefit requires building storey height figure intelligence drawing system management method described in 1-5 any one.
9. a kind of building storey height figure intelligence for realizing building storey height figure intelligence drawing system management method described in claim 1
Drawing system can be changed, which is characterized in that the building storey height figure intelligence drawing system includes:
Data inputting module, connect with data identification module, typing building data information；
Data identification module is connect with data module, central processing module, for accurately being known to the building data of typing
Not, construction zone is extracted；
Central processing module, with data inputting module, data identification module, design module, modeling module, layout design module,
Data memory module, display module connection, work normally for controlling modules；
Module is designed, is connect with central processing module, for carrying out Drawing Design according to the building data of typing；
Modeling module is connect with central processing module, for constructing corresponding model according to the data of design；
Layout design module, connect with central processing module, for carrying out the output design of A3 (A4) drawing to the model made；
Data memory module is connect with central processing module, for by treated, building model data to be stored；
Display module is connect with central processing module, the building storey height graph model effect for being drawn by display display
Figure.
10. building storey height figure intelligence drawing system architectural drawing platform described in a kind of carrying claim 9.
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