CN108241899A - Passive room Architectural Equipment material cost optimization computing system and method - Google Patents
Passive room Architectural Equipment material cost optimization computing system and method Download PDFInfo
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Abstract
The invention discloses a kind of passive room Architectural Equipment material cost optimization computing system and methods, solve the problems, such as that designer lacks reference frame during the variable input parameters built to passive room are adjusted and optimize, drip irrigation device is, including being used to define the numerical value of multiple passive room variable input parameters to generate the parameter definition module of variable resource pool, and it is used to define the output parameter of passive room building to be calculated simultaneously, the PHPP computing modules of the numerical result of output parameter that one-to-one passive room is built are calculated in the numerical value of variable input parameters for being built according to the passive room obtained in independent variable resource pool respectively, Parameter analysis module and the result display module that is shown for correlation and sensitivity analysis result for correlation and sensitivity analysis；On the one hand the present invention, which has, improves speed of the designer on adjusting and optimizing the variable input parameters built in passive room, on the other hand also improve the certainty of passive room optimized design scheme.
Description
Technical field
The present invention relates to parameter optimization system more particularly to passive room Architectural Equipment material cost optimization computing systems
And method.
Background technology
The concept in passive room results from 1988, and in the research and practice in the passive room of German early start, and passive
Room refers to not realizing the building of comfortable summer in winter indoor environment by traditional heating system and the air conditioning form of active, with
The traditional architecture or indoor comfort degree that low energy consumption but indoor comfort degree is poor are enough but the high-end building of high energy consumption is compared, passively
Room has the advantages that realize the low energy consumption under high-quality living environment.
Passive room is the comprehensive expression of person of various building heat preservations and power-saving technology product, is by fully using Passive design
Measure, the non-renewable primary energy demand for consuming heating using regenerative resource etc. are no more than 15 kilowatts of hours/square meters
House.And so low energy consumption standard, it is by the strong external wall of high heat-insulating sound-insulating, leakproofness and as far as possible using existing
What some regenerative resources were achieved.Therefore, this proposes the design in passive room very high technology requirement, and to reach
The technical measures that the low energy consumption standard stated is taken mainly have：
1）High performance peripheral structure is the base in passive room using high heat preservation, high-air-tightness and peripheral structure without heat bridge
This requirement；
2）It is that passive room is realized by the utilization to regenerative resources such as underground heat, solar energy as much as possible using regenerative resource
The key of " passive "；
3）Recuperation of heat ventilating system, efficient recuperation of heat core are the cores of passive room aeration technology.
PHPP is a load and energy consumption calculation specifically for passive room by German passive room research institute PHI exploitations
Software is essential auxiliary software during passive room is designed, and can complete a set of passive room by this software completely
Design.
It is soft using PHPP in the boundary condition that building external envelope structure is determined and after setting some rational parameters
Part carries out primary Calculation and simultaneously determines basic parameter according to result of calculation, then variable element therein is carried out adjustment gradually and
The heating for meeting the passive room standard of Germany, refrigeration and non-renewable primary energy consumption amount item are calculated using PHPP for optimization
The requirement of various parameters under part.
But designer the adjustment trend of the numerical value for the variable input parameters built to passive room and showing it is assorted
The numerical value of which variable element should be adjusted during result of calculation, do what kind of adjustment etc. all have it is certain not
Certainty and blindness, this has also affected indirectly determining for the optimized design in passive room.
Invention content
The first object of the present invention is to provide a kind of passive room Architectural Equipment material cost optimization computing system, has pair
The variable input parameters and output parameter of passive room building carry out correlation analysis and sensitivity analysis with to variable input parameters
Adjustment and optimization provide reference the advantages of.
The present invention above-mentioned purpose technical scheme is that：A kind of passive room Architectural Equipment material into
This optimization computing system, including
Parameter definition module, for defining the numerical value of the variable input parameters of multiple passive room buildings to generate variable resource pool,
It is used to define the output parameter of passive room building to be calculated simultaneously；
PHPP computing modules, for the variable input parameters according to the passive room building being obtained from the variable resource pool
Numerical value be calculated respectively the one-to-one passive room building output parameter numerical result；
Parameter analysis module, for the numerical value of the variable input parameters to the one-to-one passive room building and described passive
The numerical value of the output parameter of room building makees correlation and sensitivity analysis；
As a result display module, for obtaining the correlation of the Parameter analysis module and sensitivity analysis result and being opened up to it
Show the reference of adjustment and the optimization of the input parameter to be built as passive room.
Using the above scheme, the numerical value for the variable input parameters built according to the passive room called in variable resource pool corresponds to
The output parameter of passive room building is calculated, and the variable input parameters and passive room of each passive room building are built one by one
Output parameter between correlation and sensibility analyzed, and the analysis result of correlation and sensibility is shown to make
The numerical optimization of the variable input parameters of passive room building and the reference of adjustment are carried out for designer, on the one hand improves designer
Speed on adjusting and optimizing the variable input parameters built in passive room, on the other hand also improves passive room optimized design
The certainty of scheme.
Preferably, the PHPP computing modules include
Input unit, for obtaining the output parameter of the passive room building and obtaining quilt in the variable resource pool one by one
The numerical value of the variable input parameters of dynamic room building；
PHPP computing units, for the number of the variable input parameters according to the passive room building received from the input unit
The numerical result of the output parameter of the passive room building received from the input unit is calculated in value.
Using the above scheme, input unit obtains the variable input parameters of passive room building to passive out of variable resource pool
The output parameter of room building is calculated, using the data source as progress correlation and sensitivity analysis.
Preferably, the Parameter analysis module includes
Dependency analysis unit, the variable input parameters for analyzing each passive room building one by one are built with the passive room
Correlation between the output parameter built；
Sensitivity analysis unit, the variable input parameters for analyzing each passive room building one by one are built with the passive room
Sensibility between the output parameter built.
Using the above scheme, the variable input parameters and the output of passive room building of same passive room building are joined respectively
Number makees correlation and sensitivity analysis.
Preferably, it further includes
Cost calculation module is stored with the material database for including title material, model, price, thermal conductivity factor and heat storage coefficient,
For the passive room primary energy defined according to the correlation with reference to the Parameter analysis module and sensitivity analysis result
Consumption meets the numerical value of the variable input parameters of the passive room building of the passive room primary energy consumption requirement of Germany, extraction
Go out the thermal conductivity factor and matched title material of heat storage coefficient, model and price, the algorithm to add up again by first making product is calculated
The material cost value of passive room building.
Using the above scheme, designer, which can directly obtain, meets the German passively passive room of room primary energy consumption requirement
Construction cost saves designer and searches, screened in the work of satisfactory material and calculating material cost value on the market
Hold, improve work efficiency.
Preferably, it further includes
Report output module, for according to the displaying result and the cost calculation module for being obtained from the result display module
The material cost value generation is reported and is exported.
Using the above scheme, designer is facilitated to carry out repetitious check.
The second object of the present invention is to provide a kind of passive room Architectural Equipment material cost optimized calculation method, has pair
The variable input parameters and output parameter of passive room building carry out correlation analysis and sensitivity analysis with to variable input parameters
Adjustment and optimization provide reference the advantages of.
The present invention above-mentioned purpose technical scheme is that：A kind of passive room Architectural Equipment material into
This optimized calculation method, including
Step 1, the definition of numerical value of variable input parameters and the generation of variable resource pool built for multiple passive rooms, together
When for the output parameter to passive room building to be calculated definition；
Step 2, for the numerical value of the variable input parameters according to the passive room building being obtained from the variable resource pool
The numerical result of the output parameter of the one-to-one passive room building is calculated respectively；
Step 3 is built for the numerical value and the passive room of the variable input parameters to the one-to-one passive room building
The numerical value of output parameter make correlation and sensitivity analysis；
Step 4, between the variable input parameters to the passive room building and the output parameter of the passive room building
Correlation analysis result and sensitivity analysis result are shown the adjustment and optimization of the input parameter to be built as passive room
Reference.
Using the above scheme, the numerical value for the variable input parameters built according to the passive room called in variable resource pool corresponds to
The output parameter of passive room building is calculated, and the variable input parameters and passive room of each passive room building are built one by one
Output parameter between correlation and sensibility analyzed, and analysis result displaying is built using carrying out passive room as designer
On the one hand the numerical optimizations of the variable input parameters built and the reference of adjustment improve designer and build adjusting and optimize passive room
On the other hand the speed on variable input parameters built also improves the certainty of passive room optimized design scheme.
Preferably, the step 2 includes
Step 2.1, for obtaining the output parameter of the passive room building and obtain quilt in the variable resource pool one by one
The numerical value of the variable input parameters of dynamic room building；
Step 2.2, the numerical computations of variable input parameters for being built according to the passive room of reception obtain the institute of reception
State the numerical result of the output parameter of passive room building.
Using the above scheme, obtain what the variable input parameters built in passive room built passive room out of variable resource pool
Output parameter is calculated, using the data source as progress correlation and sensitivity analysis.
Preferably, the step 3 includes
Step 3.1, for the variable input parameters of each passive room building and the output parameter of the passive room building
Between correlation analyzed one by one；
Step 3.2, for the variable input parameters of each passive room building and the output parameter of the passive room building
Between sensibility analyzed one by one.
Using the above scheme, the variable input parameters and the output of passive room building of same passive room building are joined respectively
Number makees correlation and sensitivity analysis.
Preferably, it further includes
Step 5, for the passive room primary energy defined according to the correlation with reference to step 3 and sensitivity analysis result
Consumption meets the numerical value of the variable input parameters of the passive room building of the passive room primary energy consumption requirement of Germany, from depositing
It contains in the material database including title material, model, price, thermal conductivity factor and heat storage coefficient and extracts thermal conductivity factor and storage
Title material, model and the price of hot coefficients match, and passive room building is calculated using the long-pending algorithm to add up again is first made
Material cost value.
Using the above scheme, designer, which can directly obtain, meets the German passively passive room of room primary energy consumption requirement
Construction cost saves designer and searches, screened in the work of satisfactory material and calculating material cost value on the market
Hold, improve work efficiency.
Preferably, it further includes
Step 6, for will be between the variable input parameters of the passive room building and the output parameter of the passive room building
Correlation analysis result, sensitivity analysis result and material cost value generation are reported and are exported.
Using the above scheme, designer is facilitated to carry out repetitious check.
Compared with prior art, passive room Architectural Equipment material cost optimization computing system and method build passive room
Correlation and sensibility between variable input parameters and output parameter are analyzed, and are built as designer to passive room
Reference when being adjusted and optimizing of the numerical value of variable input parameters, on the one hand improve designer adjust and optimize it is passive
On the other hand speed on the variable input parameters of room building also improves the certainty of passive room optimized design scheme；
In addition, the calculating of material cost value is carried out by material cost data library, it is dynamic that satisfactory material cost is calculated
Value saves designer and searches on the market, screens satisfactory material and calculate the action of material cost value, improves
Working efficiency.
Description of the drawings
Fig. 1 is the architecture diagram of the present embodiment；
Fig. 2 is the E-R figures of thermal insulation material tables of data；
Fig. 3 is the E-R figures of sash stuff tables of data；
Fig. 4 is the E-R figures of air-conditioning heating and ventilation device data table；
Fig. 5 is the operation process chart of the present embodiment.
In figure, 1, parameter definition module；2nd, PHPP computing modules；3rd, Parameter analysis module；4th, result display module；5th, into
This computing module；6th, report output module；21st, input unit；22nd, PHPP computing units；31st, dependency analysis unit；32nd, it is quick
Perceptual analysis unit；51st, material database.
Specific embodiment
The present invention is described in further detail below in conjunction with attached drawing.
This specific embodiment is only explanation of the invention, is not limitation of the present invention, people in the art
Member can as needed make the present embodiment the modification of no creative contribution after this specification is read, but as long as at this
It is all protected in the right of invention by Patent Law.
A kind of passive room Architectural Equipment material cost optimization computing system, with reference to Fig. 1, multiple passive rooms are defined including being used for
To generate the parameter definition module 1 of variable resource pool, parameter definition module is additionally operable to define simultaneously the numerical value of variable input parameters
The output parameter of passive room building to be calculated；Further include for according to obtain independent variable resource pool in passive room build can
The PHPP of the numerical result of the output parameter meters that one-to-one passive room is built are calculated in the numerical value for becoming input parameter respectively
Calculate module 2, for the numerical value of variable input parameters of one-to-one passive room building and the output parameter of passive room building
Numerical value make the Parameter analysis module 3 of correlation and sensitivity analysis and for the analysis result of the analysis module that gets parms and right
Its result display module 4 being shown.
Further include the cost calculation module 5 for being stored with material database 51, wherein material database 51 include title material,
Model, price, thermal conductivity factor and heat storage coefficient；, cost calculation module 5 is according to reference to correlation and the definition of sensitivity analysis result
The passive room primary energy consumption amount gone out meets the variable input of the passive room building of the passive room primary energy consumption requirement of Germany
The numerical value of parameter extracts the thermal conductivity factor and matched title material of heat storage coefficient, model and price from material database 51,
The material cost value of passive room building is calculated using the cost algorithm that first work product adds up again；It further includes and is obtained from for basis
As a result the material cost value of the correlation of display module 4 and sensitivity analysis result and cost calculation module 5 generation report is simultaneously defeated
The report output module 6 gone out.
Wherein, PHPP computing modules 2 include the quilt in the output parameter and variable resource pool for obtaining passive room building
Move the input unit 21 of the numerical value of the variable input parameters of room building and for being built according to the passive room received from input unit 21
The numerical computations for the variable input parameters built obtain the numerical result of the output parameter of the passive room building received from input unit
PHPP computing units 22.
Parameter analysis module 3 includes building with passive room for analyzing the variable input parameters of each passive room building one by one
Output parameter between correlation dependency analysis unit 31 and for analyzing the variable defeated of each passive room building one by one
Enter the sensitivity analysis unit 32 of the sensibility between the output parameter of parameter and passive room building.
Sqlserver Database Systems, cost calculation module can be used in the material database stored in cost calculation module 5
5 memory storages are useful for reading the reading unit of data in material database, and reading unit is existing function in database, such as
" SELECT * FROM database names, data table name ", it is only necessary to be modified as corresponding to parameter such as data table name corresponding in function
Data table name to be read.
With reference to shown in Fig. 2, Fig. 3 and Fig. 4, material database 51 include thermal insulation material tables of data, sash stuff tables of data and
Air-conditioning heating and ventilation device data table, and thermal insulation material tables of data, sash stuff tables of data and air-conditioning heating and ventilation number of devices
It arranges to obtain by a large amount of market survey according to the content and data that store in table.Wherein, thermal insulation material tables of data memory
The data field contained includes serial number, title, thermal conductivity factor, heat storage coefficient, model, price and identification code, and identification code is by backstage
The character string being uniquely made of numeral and letter generated at random, and can not be changed after generating；Sash stuff tables of data memory
The data field contained includes serial number, title, heat transfer coefficient, obtains hot coefficient, model, price and identification code, and identification code is by backstage
The character string being uniquely made of numeral and letter generated at random, and can not be changed after generating；Air-conditioning heating and ventilation number of devices
The data field contained according to table memory includes serial number, title, model, price, fresh air Exposure degree efficiency, fresh air and averagely takes a breath
Rate, new rheumatism organic efficiency and identification code, identification code is by the character being uniquely made of numeral and letter that generates at random from the background
String, and can not be changed after generating.
Table 1, table 2 and table 3 are the storage class of data field.
Table 1：
Table 2：
Table 3：
The specific work flow of this system is as follows：
Step 1 defines the variable input ginseng of multiple passive room buildings in parameter definition module by the way of being manually entered
Several numerical value, and variable resource pool is generated with this, while passive room building to be calculated is defined by way of being manually entered
Output parameter；
Step 2,
Step 2.1, the output parameter of passive room building is obtained from parameter definition module, while is adjusted one by one out of variable resource pool
Take the numerical value of the variable input parameters of passive room building, and keep other passive rooms buildings variable input parameters numerical value not
Become；
Step 2.2, it is obtained according to the numerical computations for the variable input parameters built from the passive room that input unit receives to be calculated
Passive room building output parameter numerical result, the numerical value of the variable input parameters of each passive room building corresponds to one
The numerical result of the output parameter of passive room building；Using the method for iterative calculation in the present embodiment, some quilt is gradually adjusted
The numerical value of the variable input parameters of dynamic room building, while keep the numerical value of the variable input parameters of other passive room buildings constant,
The numerical result of the output parameter of corresponding passive room building is calculated successively.
Step 3,
Step 3.1, the correlation between the output parameter built to the variable input parameters of each passive room building with passive room
It is analyzed, during analysis, the numerical value of the variable input parameters by only changing some passive room building is counted one by one
Between the obtained numerical result of output parameter of corresponding passive room building and the variable input parameters of the change, use
Correlation coefficient process weighs the correlation of the two；
Step 3.2, the sensibility between the variable input parameters to each passive room building and the output parameter of passive room building
It is analyzed, in analytic process, the variable input parameters by only being built to some passive room is significantly changed one by one
Become the variation tendency of the numerical result of the output parameter of corresponding passive room building being calculated to be analyzed, obtain by
The susceptibility of variable input parameters that the numerical result of the output parameter of dynamic room building builds the passive room.
Step 4, the correlation between output parameter build with passive room of variable input parameters of passive room building are divided
Analysis result and sensitivity analysis result are shown, and the mode of chart can be used in the method for displaying.
Step 5, the passive room primary energy defined according to the correlation with reference to step 3 and sensitivity analysis result
Consumption meets the numerical value of the variable input parameters of the passive room building of the passive room primary energy consumption requirement of Germany, from material number
According to the thermal conductivity factor and matched title material of heat storage coefficient, model and price is extracted in library, using the calculation that first work product adds up again
The material cost value of passive room building is calculated in method；First make the algorithm that product adds up again to specifically refer to first use material unit price × material
The value at cost of single material is calculated in material quantity, then the value at cost of each material is summed to obtain material cost value, here
The evaluation result of the output parameter of passive room building defined reaches the quilt of German passive room primary energy consumption requirement
The numerical value of the variable input parameters of dynamic room building has material cost multigroup, therefore that multiple passive room buildings can be calculated
Value, designer can select optimal designing scheme from materials'use and material cost etc. consideration.
Step 6, correlation between the output parameter that the variable input parameters that passive room is built are built with passive room,
Sensitivity analysis result and the multigroup material cost value generation being calculated are reported and are exported, designer to be facilitated to carry out repeatedly
Multiple access.
By this system so that designer can carry out passive room building with reference to correlation and sensitivity analysis result
The adjustment and optimization of variable input parameters, have certain specific aim, and improve designer passive room is built it is variable
On the other hand the adjustment of the numerical value of input parameter and optimal speed also improve the certainty of passive room optimized design scheme；
In addition, being calculated by material cost data library material cost value, save designer and search, screen on the market
Satisfactory material and the action for calculating material cost value, improve work efficiency.
Claims (10)
1. a kind of passive room Architectural Equipment material cost optimization computing system, it is characterized in that：Including
Parameter definition module（1）, for defining the numerical value of the variable input parameters of multiple passive rooms buildings to generate variable resource
Pond, while the output parameter for defining passive room building to be calculated；
PHPP computing modules（2）, for the variable input according to the passive room building being obtained from the variable resource pool
The numerical result of the output parameter of the one-to-one passive room building is calculated in the numerical value of parameter respectively；
Parameter analysis module（3）, for the numerical value of the variable input parameters to the one-to-one passive room building and described
The numerical value of the output parameter of passive room building makees correlation and sensitivity analysis；
As a result display module（4）, for obtain the correlation of the Parameter analysis module and sensitivity analysis result and to its into
The reference of adjustment and the optimization of input parameter of the row displaying to be built as passive room.
2. passive room Architectural Equipment material cost optimization computing system according to claim 1, it is characterized in that：The PHPP
Computing module includes
Input unit（21）, for obtaining the output parameter of the passive room building and obtaining one by one in the variable resource pool
Passive room building variable input parameters numerical value；
PHPP computing units（22）, for the variable input parameters according to the passive room building received from the input unit
Numerical computations obtain the passive room building received from the input unit output parameter numerical result.
3. passive room Architectural Equipment material cost optimization computing system according to claim 1, it is characterized in that：The parameter
Analysis module includes
Dependency analysis unit（31）, for analyze one by one the variable input parameters of each passive room building with it is described passive
Correlation between the output parameter of room building；
Sensitivity analysis unit（32）, for analyze one by one the variable input parameters of each passive room building with it is described passive
Sensibility between the output parameter of room building.
4. passive room Architectural Equipment material cost optimization computing system according to claim 1, it is characterized in that：It further includes
Cost calculation module（5）, it is stored with the material data for including title material, model, price, thermal conductivity factor and heat storage coefficient
Library（51）, for the passive room one defined according to the correlation with reference to the Parameter analysis module and sensitivity analysis result
Secondary energy-output ratio meets the number of the variable input parameters of the passive room building of the passive room primary energy consumption requirement of Germany
Value, extracts the thermal conductivity factor and matched title material of heat storage coefficient, model and price, the algorithm meter to be added up again by first making product
Calculate the material cost value for obtaining passive room building.
5. passive room Architectural Equipment material cost optimization computing system according to claim 4, it is characterized in that：It further includes
Report output module（6）, the displaying result of the result display module and the cost calculation mould are obtained from for basis
The material cost value generation of block is reported and is exported.
6. a kind of passive room Architectural Equipment material cost optimized calculation method, it is characterized in that：Including
Step 1, the definition of numerical value of variable input parameters and the generation of variable resource pool built for multiple passive rooms, together
When for the output parameter to passive room building to be calculated definition；
Step 2, for the numerical value of the variable input parameters according to the passive room building being obtained from the variable resource pool
The numerical result of the output parameter of the one-to-one passive room building is calculated respectively；
Step 3 is built for the numerical value and the passive room of the variable input parameters to the one-to-one passive room building
The numerical value of output parameter make correlation and sensitivity analysis；
Step 4, between the variable input parameters to the passive room building and the output parameter of the passive room building
Correlation analysis result and sensitivity analysis result are shown the adjustment and optimization of the input parameter to be built as passive room
Reference.
7. passive room Architectural Equipment material cost optimized calculation method according to claim 6, it is characterized in that：The step
Two include
Step 2.1, for obtaining the output parameter of the passive room building and obtain quilt in the variable resource pool one by one
The numerical value of the variable input parameters of dynamic room building；
Step 2.2, the numerical computations of variable input parameters for being built according to the passive room of reception obtain the institute of reception
State the numerical result of the output parameter of passive room building.
8. passive room Architectural Equipment material cost optimized calculation method according to claim 6, it is characterized in that：The step
Three include
Step 3.1, for the variable input parameters of each passive room building and the output parameter of the passive room building
Between correlation analyzed one by one；
Step 3.2, for the variable input parameters of each passive room building and the output parameter of the passive room building
Between sensibility analyzed one by one.
9. passive room Architectural Equipment material cost optimized calculation method according to claim 6, it is characterized in that：It further includes
Step 5, for the passive room primary energy consumption defined according to the analysis result with reference to the Parameter analysis module
Amount meets the numerical value of the variable input parameters of the passive room building of the passive room primary energy consumption requirement of Germany, from being stored with
Thermal conductivity factor and accumulation of heat system are extracted in material database including title material, model, price, thermal conductivity factor and heat storage coefficient
The matched title material of number, model and price, and use and first make the material that passive room building is calculated in the algorithm that product adds up again
Value at cost.
10. passive room Architectural Equipment material cost optimized calculation method according to claim 9, it is characterized in that：It further includes
Step 6, for will be between the variable input parameters of the passive room building and the output parameter of the passive room building
Correlation analysis result, sensitivity analysis result and material cost value generation are reported and are exported.
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| CN201611213655.2A CN108241899A (en) | 2016-12-24 | 2016-12-24 | Passive room Architectural Equipment material cost optimization computing system and method |
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| CN111259472A (en) * | 2020-01-13 | 2020-06-09 | 上海思优建筑科技有限公司 | Optimal design method and system for building structure |
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| CN111259472A (en) * | 2020-01-13 | 2020-06-09 | 上海思优建筑科技有限公司 | Optimal design method and system for building structure |
| CN111259472B (en) * | 2020-01-13 | 2023-03-14 | 上海思优建筑科技有限公司 | Optimal design method and system for building structure |
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