CN107368921A - Track traffic scheme comparison method based on 3DGIS+BIM technologies - Google Patents
Track traffic scheme comparison method based on 3DGIS+BIM technologies Download PDFInfo
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Abstract
The invention discloses a kind of track traffic scheme comparison method based on 3DGIS+BIM technologies, groundwork includes carrying out the visual design and structure Multiple Attribute Decision Model using 3DGIS+BIM technologies, finally chooses optimal case.By BIM technology and 3DGIS technological incorporation, BIM technology has the characteristics of fine display, abundant information, compensate for GIS details deficiency defects, beneficial complement is provided for the more deep application of GIS technology;Necessary information data is extracted from 3DGIS+BIM models, as Multiple Attribute Decision Model important parameter;Multiple Attribute Decision Model is built, the decision model is based on objective weight Design Rule, weight is determined by certain mathematical method, smaller compared to the flexible strategy deviation that subjective weights method obtains, and can more reflect the actual significance level of numerous evaluation indexes.
Description
Technical field
The invention belongs to track traffic design field, more particularly to a kind of track traffic side based on 3DGIS+BIM technologies
Case methods of comparison and selection.
Background technology
The scheme comparison and conceptual design of city track traffic engineering are a comprehensive sex works, have and involve many areas, be multiple
Polygamy is strong, the features such as having a great responsibility, generally by urban planning, topography and geomorphology, engineering geology and hydrogeologic condition, ground and ground
The multifactor impact such as lower building and traffic above-ground situation.Traditional scheme comparison and design method based on two dimensional surface are usual
It is difficult to integrate the important informations such as city three-dimensional building thing, geology, road, pipe network, causes scheme comparison to be made a fault, designs appearance
The situation of deviation occurs again and again.Such as there are new construction underground pipe network existing with city, building means of transportation etc. and rush
It is prominent, and then design alteration occurs, it may cause largely to remove, transform and change shifting work, to engineering construction and the ring of area along the line
Border produces significant impact.
Fast-developing recently as urban track traffic, scheme comparison and design are also progressively real from two dimensional surface to three-dimensional
Body changes.Particularly GIS-Geographic Information System (GIS) technology provides good technology branch for track traffic design and scheme comparison
Support.Generalized information system is based on spatial database, has good advantage in terms of displaying large scene, but details show but exist it is larger
Deficiency, it is difficult to provide stronger guidance to comparison and selection of routes.
Currently used scheme comparison work, Decision-making of Design Scheme person need to consider the influence of many factors, defined
The weight of different affecting factors assesses each alternative, and look for by the trap queuing of each alternative to establish decision model
Go out preferred plan.Currently used Tactic selection method, such as analytic hierarchy process (AHP) (AHP), fuzzy AHP (fuzzy AHP), Delphi
Method (Delphi), Network Analysis Method (ANP) etc., all it is that tax power is carried out for the attention degree of each attribute according to expert, comes under
Subjective weight setting method.The flexible strategy of subjective weights inevitably vary with each individual, and the overall merit knot obtained by different weights
Fruit is probably different.
The content of the invention
Goal of the invention:For problem above, the present invention proposes a kind of track traffic scheme ratio based on 3DGIS+BIM technologies
Choosing method.
Technical scheme:To realize the purpose of the present invention, the technical solution adopted in the present invention is:One kind is based on 3DGIS+
The track traffic scheme comparison method of BIM technology, specifically includes following steps:
(1) geographic information system technology is based on, establishes dimensionally upper environmental model;
(2) geographic information system technology is based on, environmental model is dimensionally played in foundation;
(3) BIM technology is based on, establishes track traffic model;
(4) integrating three-dimensional ground environmental model, dimensionally play environmental model and track traffic model;
(5) multiple scheme analysis are proposed;
(6) build Multiple Attribute Decision Model and evaluated;
(7) optimal suggested design is determined.
Step 1 specifically includes:
(1.1) terrain data, drawing three-dimensional relief model are obtained based on geographic information system technology;
(1.2) urban landscape data, drawing three-dimensional city model are obtained based on geographic information system technology;
(1.3) using the auxiliary modeling of UAV oblique photographs technology;
(1.4) integrate and establish dimensionally upper environmental model.
Step 2 specifically includes:
(2.1) data informations such as geological drilling, drawing three-dimensional groundwater model are obtained based on geographic information system technology;
(2.2) data informations such as geological drilling, drawing three-dimensional geological model are obtained based on geographic information system technology;
(2.3) pipeline data, drawing three-dimensional underground utilities model are obtained based on geographic information system technology;
(2.4) integrate to establish and dimensionally play environmental model.
Step 6 specifically includes:
(6.1) decision matrix is established;
(6.2) uncertain information is defined;
(6.3) data pre-processing;
(6.4) weight setting;
(6.5) association analysis;
(6.6) prioritization.
Beneficial effect:For the present invention by BIM technology and 3DGIS technological incorporation, BIM technology, which has, shows fine, abundant information
The characteristics of, GIS details deficiency defects are compensate for, beneficial complement is provided for the more deep application of GIS technology;Construct more
Attribute decision model, the decision model are based on objective weight Design Rule, determine weight by certain mathematical method, compare
It is smaller in the flexible strategy deviation that subjective weights method obtains, it can more reflect the actual significance level of numerous evaluation indexes.
Brief description of the drawings
Fig. 1 is the track traffic scheme comparison method flow diagram of the present invention based on 3DGIS+BIM technologies;
Fig. 2 is the flow chart of urban track traffic the visual design;
Fig. 3 is the particular flow sheet for building Multiple Attribute Decision Model;
Fig. 4 is broad sense gray relative pretreatment technology model schematic.
Embodiment
Technical scheme is further described with reference to the accompanying drawings and examples.
It is the track traffic scheme comparison method of the present invention based on 3DGIS+BIM technologies as shown in Figure 1, main work
Make to include carrying out the visual design and structure Multiple Attribute Decision Model using 3DGIS+BIM technologies, finally choose optimal case.
Specifically include following steps:
(1) 3D GIS-Geographic Information System (GIS) technology is based on, establishes dimensionally upper environmental model;
(2) 3D GIS-Geographic Information System (GIS) technology is based on, environmental model is dimensionally played in foundation;
(3) BIM (BIM) technology is based on, establishes track traffic model;
(4) 3D GIS and BIM models are integrated, BIM technology has the characteristics of fine display, abundant information, it is thin to compensate for GIS
The defects of insufficient is saved, beneficial complement is provided for the more deep application of GIS technology;
(5) on the basis of comprehensive 3DGIS and BIM models, multiple scheme analysis are proposed;
(6) build Multiple Attribute Decision Model and evaluate, the decision model is based on objective weight Design Rule, by certain
Mathematical method determines weight, compared to the flexible strategy deviation that subjective weights method obtains smaller, can more reflect numerous evaluation indexes
Actual significance level;
(6) optimal suggested design is determined.
Step 1-4 idiographic flow is as shown in Fig. 2 step 1 specific implementation method is as follows:
(1.1) terrain data drawing three-dimensional relief model is integrated based on GIS technology;
(1.2) urban landscape data drawing three-dimensional city model is passed through based on GIS technology;
(1.3) using the auxiliary modeling of UAV oblique photographs technology, model validity is improved;
(1.4) integrate and establish dimensionally upper environmental model.
The specific implementation method of step 2 is as follows:
(2.1) the data information drawing three-dimensional groundwater models such as geology, probing are integrated based on GIS technology;
(2.2) the data information drawing three-dimensional geological models such as geology, probing are integrated based on GIS technology;
(2.3) based on GIS technology conformable tube line number according to drawing three-dimensional underground utilities model;
(2.4) integrate to establish and dimensionally play environmental model.
The idiographic flow of step 6 is as shown in figure 3, specific implementation method is as follows:
(6.1) decision matrix is established;
Multiple attribute decision making (MADM) matrix is defined by " attribute " with " scheme ", and decision model of the invention uses uncertain information,
Therefore the assessed value in decision matrix is presented in a manner of grey number, i.e.,The presentation such as formula (1) of whole decision matrix:
From formula 1, matrix that decision matrix is made up of n scheme and m attribute, wherein,Represent
Grey number assessed value of i-th of scheme on j-th of attribute.
(6.2) uncertain information is defined;
This example uses six large attribute indexs:Operational effect and economic benefit, construction costs, Line technology route, it can implement
Property, the accordance of attracting passenger flow effect and upper planning.
The impact evaluation value of above-mentioned six large attributes index be often difficult to it is specific given, but still can rely on the information obtained and
Cognition, a section is given to assessed value, this section is grey number.The present invention defines uncertain letter using the concept of grey number
Breath, using non-definite value, but the form of numerical intervals is scored, and relatively meets the objectivity of human nature perception.
(6.3) data pre-processing;
In terms of data pre-processing, using the broad sense gray relative pretreatment technology model of grey number, as shown in Figure 4.According to Fig. 4
Carry out data pre-processing discussion so that the grey number assessed value of generation is
(1) whenWhen,
Due toPositioned at the left of generating function, the problem of not obscuring sequentially, the formula under this situation is:
Wherein,For the grey number assessed value after generation.
(2) whenWhen,
Due toCoverLeft, it is therefore necessary to consider that desired value is 1 it is assumed that formula under this situation
For:
(3) whenWhen,
Now,Cover wholeConsider desired value be generated as 1 it is assumed that the generation formula under this situation is:
(4) whenWhen,
Now,CoverRight, in addition to desired value is contemplated and is generated as 1 hypothesis, need consider order
The problem of obscuring, the generation formula under this situation are:
(5) whenWhen,
Now,Positioned at the right of generating function, the problem of order is obscured be present, therefore can be by the generation under this situation
Formula remittance is whole to be:
(6.4) weight setting;
Information that objective weight basis of design decision matrix is provided determines weight, mainly weighs in attribute between data
Deviation degree, when the deviation in attribute is bigger, represents that the attribute more has taste, higher weight can be given.Accordingly
Concept, the present invention first derive the perfect number weight setting model based on deviation maximization.
Certain decision matrix is X=[xi(j)]n×m, normalized matrix R can be obtained after normalization, it is assumed that weight vectors are:
W=[w (1), w (2) ..., w (m)], w (j) >=0,
For attribute u (j), scheme r in attributeiDeviation between other schemes may be defined as:
Wherein, riFor xiFormation sequence.Then, make:
Δ (j) is represented in attribute u (j) Inner, the total deviation of weighting of all schemes.According to the concept of deviation maximization, weighting
Vectorial w distribution should make the total deviation of weighting of all properties be maximum.Therefore, its object function can be set to:
Then, the w of following optimization model is solved, you can obtain the weight vectors of deviation maximization:
If solving this optimization problem with Lagrange functions,:
Its gradient is sought, and is made:
Optimum solution, which can be obtained, is:
Further, since typically using unitization weight in decision model, therefore w (j) is subjected to unitization processing again,
I.e.:
It can thus be concluded that:
Formula 16 to handle the weight setting mode of perfect number, to expand to grey number space when, then must further
Define δi(k) calculation., can be by δ according to grey number Ming Kaosiji distance functionsi(k) it is defined as:
Now, in this grey number distance generation, is returned into formula 16, you can obtain objective weight setting value.
(6.5) association analysis;
After obtaining attribute weight, the association analysis between grey numeral sequence is calculated.Reference sequences and grey number are analyzed in association analysis
Relevance between decision matrix, it is by based on distance function that its proximity degree, which judges,.
If reference sequences are defined as:
Bright Cowes cardinal distance is weighted from the basis as association analysis using the grey number between reference sequences and decision matrix, i.e.,:
Wherein,Referring to willWithThe sequence after pre-treatment is carried out for reference sequences, w (j) is grey number weight setting
The weight of j-th of attribute obtained by technology, p is Ming Kaosiji distance parameters, is most common euclidean distance as p=2.
On this basis, association analysis passes through the calculation formula of gray relation grades, you can is arranged according to size scheme preferential time
Sequence.
Wherein, dmin and dmax is respectively doiIn minimum value and maximum.
By decision matrix, pretreatment technology, weight and related analysis technology, urban rail transit line station can be carried out
Alternative priority ordering.ATTRIBUTE INDEX, definition and data source are shown in Table 1.
Table 1
(6.6) prioritization.
In step 6, by scoring six big indexs, distinguishing for each index directly can by the score calculation in decision matrix
Power Du not be assigned, on the one hand simplifies the flow of alternative competition, while reduces influence of the subjective weight to result.Scoring
It can be a section rather than definite value, relatively meet the objectivity of human nature perception.
Claims (8)
- A kind of 1. track traffic scheme comparison method based on 3DGIS+BIM technologies, it is characterised in that:Specifically include following step Suddenly:(1) geographic information system technology is based on, establishes dimensionally upper environmental model;(2) geographic information system technology is based on, environmental model is dimensionally played in foundation;(3) BIM technology is based on, establishes track traffic model;(4) integrating three-dimensional ground environmental model, dimensionally play environmental model and track traffic model;(5) multiple scheme analysis are proposed;(6) build Multiple Attribute Decision Model and evaluated;(7) suggested design is determined.
- 2. the track traffic scheme comparison method according to claim 1 based on 3DGIS+BIM technologies, it is characterised in that: The step 1 specifically includes:(1.1) terrain data, drawing three-dimensional relief model are integrated based on geographic information system technology;(1.2) urban landscape data, drawing three-dimensional city model are integrated based on geographic information system technology;(1.3) using the auxiliary modeling of UAV oblique photographs technology;(1.4) integrate and establish dimensionally upper environmental model.
- 3. the track traffic scheme comparison method according to claim 1 based on 3DGIS+BIM technologies, it is characterised in that: The step 2 specifically includes:(2.1) data informations such as geological drilling, drawing three-dimensional groundwater model are integrated based on geographic information system technology;(2.2) data informations such as geological drilling, drawing three-dimensional geological model are integrated based on geographic information system technology;(2.3) geographic information system technology conformable tube line number evidence, drawing three-dimensional underground utilities model are based on;(2.4) integrate to establish and dimensionally play environmental model.
- 4. the track traffic scheme comparison method according to claim 1 based on 3DGIS+BIM technologies, it is characterised in that: The step 6 specifically includes:(6.1) decision matrix is established;(6.2) uncertain information is defined;(6.3) data pre-processing;(6.4) weight setting;(6.5) association analysis;(6.6) prioritization.
- 5. the track traffic scheme comparison method according to claim 4 based on 3DGIS+BIM technologies, it is characterised in that: ATTRIBUTE INDEX can cover operational effect and economic benefit, construction costs, Line technology route, exploitativeness, attracting passenger flow effect With the accordance of upper planning etc.;Part ATTRIBUTE INDEX data source is in 3D GIS+BIM models.
- 6. the track traffic scheme comparison method according to claim 4 based on 3DGIS+BIM technologies, it is characterised in that: For uncertain information, the valuation section of ATTRIBUTE INDEX is provided.
- 7. the track traffic scheme comparison method according to claim 4 based on 3DGIS+BIM technologies, it is characterised in that: Data pre-processing uses broad sense gray relative pretreatment technology model.
- 8. the track traffic scheme comparison method according to claim 1 based on 3DGIS+BIM technologies, it is characterised in that: Structure Multiple Attribute Decision Model is based on objective weight Design Rule, and weight is determined by certain mathematical method.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109711600A (en) * | 2018-11-27 | 2019-05-03 | 中国公路工程咨询集团有限公司 | Route selection evaluation system and method based on oblique photograph threedimensional model |
CN110110376A (en) * | 2019-04-09 | 2019-08-09 | 天津大学 | A kind of hinge dam type scheme analysis method for quantitatively evaluating and device based on BIM |
CN111047157A (en) * | 2019-11-26 | 2020-04-21 | 深圳大学 | Construction scheme comparing and selecting method in building engineering |
CN113887010A (en) * | 2021-08-30 | 2022-01-04 | 长江勘测规划设计研究有限责任公司 | Water conservancy and hydropower station traffic planning and organization method based on live-action modeling and BIM |
CN114492093A (en) * | 2022-04-18 | 2022-05-13 | 济南轨道交通集团有限公司 | City visualization method and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102194056A (en) * | 2011-05-05 | 2011-09-21 | 中国矿业大学(北京) | BN-GIS (Bayesian Network-Geographic Information System) method for evaluating and predicting water inrush danger of coal-seam roof and floor |
CN102360458A (en) * | 2011-10-19 | 2012-02-22 | 浙江大学 | Fuzzy evaluation method for selection of immigrant settlement areas |
CN103226666A (en) * | 2013-05-10 | 2013-07-31 | 天津市市政工程设计研究院 | Method for evaluating effect of complex function interflow vertical crossing system |
CN106651663A (en) * | 2016-10-10 | 2017-05-10 | 天津泰达城市轨道投资发展有限公司 | Track traffic construction safety risk display method and system |
CN106844977A (en) * | 2017-01-23 | 2017-06-13 | 重庆市勘测院 | A kind of town road BIM designs a model and GIS data integrated approach |
-
2017
- 2017-07-14 CN CN201710574123.XA patent/CN107368921A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102194056A (en) * | 2011-05-05 | 2011-09-21 | 中国矿业大学(北京) | BN-GIS (Bayesian Network-Geographic Information System) method for evaluating and predicting water inrush danger of coal-seam roof and floor |
CN102360458A (en) * | 2011-10-19 | 2012-02-22 | 浙江大学 | Fuzzy evaluation method for selection of immigrant settlement areas |
CN103226666A (en) * | 2013-05-10 | 2013-07-31 | 天津市市政工程设计研究院 | Method for evaluating effect of complex function interflow vertical crossing system |
CN106651663A (en) * | 2016-10-10 | 2017-05-10 | 天津泰达城市轨道投资发展有限公司 | Track traffic construction safety risk display method and system |
CN106844977A (en) * | 2017-01-23 | 2017-06-13 | 重庆市勘测院 | A kind of town road BIM designs a model and GIS data integrated approach |
Non-Patent Citations (1)
Title |
---|
毛霖 李文权: ""基于灰关联分析的公交智能化调度评价方法"", 《东南大学学报(自然科学版)》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109711600A (en) * | 2018-11-27 | 2019-05-03 | 中国公路工程咨询集团有限公司 | Route selection evaluation system and method based on oblique photograph threedimensional model |
CN110110376A (en) * | 2019-04-09 | 2019-08-09 | 天津大学 | A kind of hinge dam type scheme analysis method for quantitatively evaluating and device based on BIM |
CN111047157A (en) * | 2019-11-26 | 2020-04-21 | 深圳大学 | Construction scheme comparing and selecting method in building engineering |
CN113887010A (en) * | 2021-08-30 | 2022-01-04 | 长江勘测规划设计研究有限责任公司 | Water conservancy and hydropower station traffic planning and organization method based on live-action modeling and BIM |
CN114492093A (en) * | 2022-04-18 | 2022-05-13 | 济南轨道交通集团有限公司 | City visualization method and system |
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