CN106446374A - Model selection method and model selection system of air-conditioner end equipment - Google Patents
Model selection method and model selection system of air-conditioner end equipment Download PDFInfo
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- CN106446374A CN106446374A CN201610818121.6A CN201610818121A CN106446374A CN 106446374 A CN106446374 A CN 106446374A CN 201610818121 A CN201610818121 A CN 201610818121A CN 106446374 A CN106446374 A CN 106446374A
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- end equipment
- air conditioner
- conditioner end
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F1/00—Room units for air-conditioning, e.g. separate or self-contained units or units receiving primary air from a central station
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
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Abstract
The invention discloses a model selection method and a model selection system of air-conditioner end equipment. The model selection method includes building corresponding building models according to building energy consumption influence parameters input by users, simulating the building models to obtain building energy consumption value including cooling capacity demanded/heating capacity demanded, and then carrying out model selection of the air-conditioner end equipment according to building energy consumption value and users' demands to the air-conditioner end equipment. According to the method and the system, the building energy consumption value is obtained by simulation of building energy consumption, the result of model selection of the air-conditioner end equipment is much accurate than that of the prior art which is obtained by empirical estimation, and thus the real operation condition of the air-conditioner end equipment can be simulated well.
Description
Technical field
The present invention relates to air-conditioner technical field, in particular, be related to a kind of selection method of air conditioner end equipment and
System.
Background technology
When air-conditioning manufacturer submits a tender or during to customer sales air conditioner end equipment, need soft using air conditioner end equipment type selecting
Part.Air conditioning terminal Selection Software is used for according to user's request, from the air conditioner end equipment type being pre-designed with model, screening
Go out suitable air conditioner end equipment, and generate detailed type selecting report.
Existing air conditioning terminal type selecting equipment is all that the relevant parameter of the air conditioner end equipment according to user input is selected
Type.For example, when user needs the air conditioner end equipment chosen to be wind disk it is necessary first to select in air conditioning terminal Selection Software
Wind disk, then the relevant parameter further according to the wind disk of user input (for example cooling/heating amount scope, inlet water temperature, exit water temperature,
Air intake dry-bulb temperature, air intake wet-bulb temperature etc.) calculated, obtain the relevant parameter of qualified wind disk, finally by general
The demand refrigerating capacity that the relevant parameter of qualified wind disk is provided with user is contrasted again, filters out qualified wind disk
Model.
In existing air conditioner end equipment selection method, building energy consumption value used (including demand cooling/heating amount) is usual all
Be that user rule of thumb estimates, and the use environment of air conditioner end equipment be different, its building energy consumption also accordingly different, therefore
Larger error is had using the type selecting result that existing air conditioner end equipment selection method obtains.
Content of the invention
In view of this, the present invention discloses a kind of selection method of air conditioner end equipment and system, to solve existing air-conditioning end
There is larger error in the type selecting result that end equipment selection method obtains.
A kind of selection method of air conditioner end equipment, including：
Obtain the building energy consumption affecting parameters of user input；
Set up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
Described BUILDINGS MODELS is carried out with simulation calculation and obtains building energy consumption value, described building energy consumption value includes at least demand
Cold heat amount；
Preliminary selection cooling/heating scope comprises all of first air conditioner end equipment of described building energy consumption value；
From preliminary each described first air conditioner end equipment chosen, choose all of second air-conditioning meeting user's request
End-equipment；
Obtain the operational factor of described second air conditioner end equipment of user input；
Each described second air conditioner end equipment is carried out under default running environment run emulation according to described operational factor
Simulation, and it is calculated the actual operation parameters of each described second air conditioner end equipment, described actual operation parameters include at least
There is actual cooling/heating amount；
Described actual operation parameters and described building energy consumption value are compared, from each described second air conditioner end equipment
Filter out the type meeting pre-conditioned air conditioner end equipment.
Preferably, described pre-conditioned inclusion：The upper lower deviation of described actual operation parameters and described building energy consumption value is not
Exceed preset percentage.
Preferably, when described actual operation parameters also include Energy Efficiency Ratio, described by described actual operation parameters and described
Building energy consumption value is compared, and filters out and meet pre-conditioned air conditioner end equipment from each described second air conditioner end equipment
Type include：
Described actual operation parameters and described building energy consumption value are compared, from each described second air conditioner end equipment
Filter out and meet pre-conditioned and observable index highest air conditioner end equipment type.
Preferably, when described type is unsatisfactory for user's request, described selection method also includes：
Obtain the operational factor of amended described second air conditioner end equipment of user input, screening machine again again
Type.
Preferably, when described type meets user's request, described selection method also includes：
Simulation calculation is carried out to the operational factor and described BUILDINGS MODELS of the corresponding air conditioner end equipment of described type, obtains
The power consumption values of preset time period are run to described air conditioner end equipment in the corresponding building of described BUILDINGS MODELS.
Preferably, also include：
Generate and export type selecting report, described type selecting report includes at least described actual operation parameters, described building energy
Consumption value and described type.
A kind of selection system of air conditioner end equipment, including：
First acquisition unit, for obtaining the building energy consumption affecting parameters of user input；
Unit set up by model, for setting up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
First simulation unit, obtains building energy consumption value, described building energy for described BUILDINGS MODELS is carried out with simulation calculation
Consumption value includes at least demand cold heat amount；
First screening unit, chooses, for preliminary, all of first sky that cooling/heating scope comprises described building energy consumption value
Adjust end-equipment；
Second screening unit, for, from preliminary each described first air conditioner end equipment chosen, choosing and meeting user's need
All of second air conditioner end equipment asked；
Second acquisition unit, for obtaining the operational factor of described second air conditioner end equipment of user input；
First computing unit, for according to described operational factor to each described second air conditioner end equipment in default operation ring
Carry out under border running analogue simulation, and be calculated the actual operation parameters of each described second air conditioner end equipment, described reality
Operational factor includes at least actual cooling/heating amount；
Third filtering unit, for described actual operation parameters and described building energy consumption value are compared, from each described
The type meeting pre-conditioned air conditioner end equipment is filtered out in second air conditioner end equipment.
Preferably, described pre-conditioned inclusion：The upper lower deviation of described actual operation parameters and described building energy consumption value is not
Exceed preset percentage.
Preferably, when described actual operation parameters also include Energy Efficiency Ratio, described third filtering unit also includes：
Described actual operation parameters and described building energy consumption value are compared, from each described second air conditioner end equipment
Filter out and meet pre-conditioned and observable index highest air conditioner end equipment type.
Preferably, when described type is unsatisfactory for user's request, also include：
Returning unit, for returning described second acquisition unit, obtains amended described the second of user input again
The operational factor of air conditioner end equipment, screens type again.
Preferably, described selection system also includes：
Power consumption values computing unit, for when described type meets user's request, the corresponding air conditioning terminal to described type
The operational factor of equipment and described BUILDINGS MODELS carry out simulation calculation, obtain described air conditioner end equipment in described BUILDINGS MODELS
The power consumption values of preset time period are run in corresponding building.
Preferably, also include：
Report generation output unit, for generating and exporting type selecting report, described type selecting report includes at least described reality
Border operational factor, described building energy consumption value and described type.
Knowable to above-mentioned technical scheme, the invention discloses a kind of selection method of air conditioner end equipment and system, root
Building energy consumption affecting parameters according to user input set up corresponding BUILDINGS MODELS, are obtained at least by carrying out emulation to BUILDINGS MODELS
Include the building energy consumption value of demand cold heat amount, then the demand pair to air conditioner end equipment according to building energy consumption value and user
Air conditioner end equipment carries out type selecting.It follows that the building energy consumption value in the present invention is obtained by building energy consumption emulation, compare existing
For having technology rule of thumb to estimate, the type selecting result of the air conditioner end equipment that the present invention obtains is more accurate, therefore, it is possible to mould
Intend the ruuning situation of real air conditioner end equipment.
Brief description
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
Have technology description in required use accompanying drawing be briefly described it should be apparent that, drawings in the following description be only this
Inventive embodiment, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
Disclosed accompanying drawing obtains other accompanying drawings.
Fig. 1 is a kind of selection method flow chart of air conditioner end equipment disclosed in the embodiment of the present invention；
Fig. 2 is the selection method flow chart of another kind of air conditioner end equipment disclosed in the embodiment of the present invention；
Fig. 3 is a kind of structural representation of the selection system of air conditioner end equipment disclosed in the embodiment of the present invention；
Fig. 4 is the structural representation of the selection system of another kind of air conditioner end equipment disclosed in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation description is it is clear that described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of not making creative work
Embodiment, broadly falls into the scope of protection of the invention.
The embodiment of the invention discloses a kind of selection method of air conditioner end equipment and system, to solve existing air conditioning terminal
There is larger error in the type selecting result that Equipments Choosing Method obtains.
Referring to Fig. 1, the selection method flow chart of a kind of air conditioner end equipment disclosed in the embodiment of the present invention, the method includes
Step：
Step S101, the building energy consumption affecting parameters of acquisition user input；
Wherein, building energy consumption affecting parameters can include：The longitude and latitude of air conditioner end equipment building to be mounted, direction,
Using material, shape, room-size etc..
Step S102, set up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
Specifically, building energy consumption affecting parameters are inputted building simulation calculation software and set up corresponding BUILDINGS MODELS.
Step S103, described BUILDINGS MODELS is carried out with simulation calculation obtain building energy consumption value；
Wherein, building energy consumption value includes at least demand cold heat amount, and in practice, building energy consumption value can also include needing
Seek the demand parameters such as air quantity.
It should be noted that in this step when emulating to BUILDINGS MODELS, calculating with specific reference to law of conservation of energy
Obtain building energy consumption value.Illustrate it is assumed that outdoor temperature is 35 DEG C, indoor temperature is 36 DEG C, when needing to drop indoor temperature
When as little as 27 DEG C it is assumed that this room is airtight (only carrying out heat exchange by air-conditioner in room), then according to the conservation of energy
Law can calculate and for indoor temperature be reduced to 27 DEG C of energy values that need to consume by 36 DEG C.Wherein, this room keeps this consumption
Energy value one day need the total energy value that consumes, be this one day energy consumption in room.
It is understood that room is unlikely to be completely airtight in practice, its also exist a lot of impact energy consumptions because
Element, for example, the heat exchange between room air and outdoor air, the activity of people, environment temperature, therefore in actual applications, in meter
Also need to consider the impact of these uncertainties when calculating building energy consumption value.
Check building energy consumption value for the convenience of the user, after being calculated building energy consumption value, can also this be built in interface display
Build power consumption values.
All of first air conditioning terminal that step S104, preliminary selection cooling/heating scope comprise described building energy consumption value sets
Standby；
Wherein, the first air conditioner end equipment can include：(wind disk includes wind disk：Horizontal type concealed type wind disk, flap seat type wind
Disk, ceiling-installed wind disk and wall built-up type wind disk) and hang clothes closet (hang clothes closet include Ultrathin suspended ceiling formula hang clothes closet, E series furred ceiling hang clothes closet
With vertical hanging clothes closet).
Step S105, from preliminary each described first air conditioner end equipment chosen, choose and meet all of user's request
The second air conditioner end equipment；
Step S106, the operational factor of described second air conditioner end equipment of acquisition user input；
Wherein, operational factor refers specifically to simulate the important parameter that air conditioner end equipment runs, for example, inlet water temperature,
Exit water temperature, air intake dry-bulb temperature, air intake wet-bulb temperature, optional scope of demand cold heat amount of air conditioner end equipment etc..
Step S107, according to described operational factor, each described second air conditioner end equipment is carried out under default running environment
Run analogue simulation, and be calculated the actual operation parameters of each described second air conditioner end equipment；
Wherein, actual operation parameters include at least actual cooling/heating amount.
It should be noted that actual operation parameters can also include air-cooled, observable index (COP) etc..
Step S108, described actual operation parameters and described building energy consumption value are compared, from each described second air-conditioning
The type meeting pre-conditioned air conditioner end equipment is filtered out in end-equipment.
Wherein, pre-conditioned can be：The upper lower deviation of actual operation parameters and building energy consumption value is less than default percentage
Than (such as 5%).
Depending on pre-conditioned concrete foundation is actually needed, here of the present invention does not limit.
In summary, the present invention sets up corresponding BUILDINGS MODELS according to the building energy consumption affecting parameters of user input first,
By carrying out to BUILDINGS MODELS emulating the building energy consumption value obtaining including at least there being demand cold heat amount, then according to building energy consumption
Value and user carry out type selecting to the demand of air conditioner end equipment to air conditioner end equipment.It follows that the building energy in the present invention
Consumption value is obtained by building energy consumption emulation, and for rule of thumb estimating compared to existing technology, the air conditioning terminal that the present invention obtains sets
Standby type selecting result is more accurate, therefore, it is possible to simulate the ruuning situation of real air conditioner end equipment.
In addition, compared to existing technology for scheme, present invention dramatically increases the understanding to air conditioner end equipment for the user, from
And improve the success rate recommending air conditioner end equipment to user.
Wherein, when the actual operation parameters of calculated second air conditioner end equipment also include observable index, can be by
Filter out meets in pre-conditioned air conditioner end equipment the high equipment recommendation of observable index to user.Therefore, above-described embodiment
In step S108 can also be：
Described actual operation parameters and described building energy consumption value are compared, from each described second air conditioner end equipment
Filter out and meet pre-conditioned and observable index highest air conditioner end equipment type.
For optimizing above-described embodiment further, participate in Fig. 2, a kind of air conditioner end equipment disclosed in another embodiment of the present invention
Selection method flow chart, the method comprising the steps of：
Step S201, the building energy consumption affecting parameters of acquisition user input；
Step S202, set up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
Step S203, described BUILDINGS MODELS is carried out with simulation calculation obtain building energy consumption value；
Wherein, building energy consumption value includes at least demand cold heat amount, and in practice, building energy consumption value can also include needing
Seek the demand parameters such as air quantity.
It should be noted that in this step when emulating to BUILDINGS MODELS, calculating with specific reference to law of conservation of energy
Obtain building energy consumption value.
All of first air conditioning terminal that step S204, preliminary selection cooling/heating scope comprise described building energy consumption value sets
Standby；
Step S205, from preliminary each described first air conditioner end equipment chosen, choose and meet all of user's request
The second air conditioner end equipment；
Step S206, the operational factor of described second air conditioner end equipment of acquisition user input；
Wherein, operational factor refers to simulate the important parameter that air conditioner end equipment runs, for example, inlet water temperature, outlet
Water temperature, air intake dry-bulb temperature, air intake wet-bulb temperature, optional scope of demand cold heat amount of air conditioner end equipment etc..
Step S207, according to described operational factor, each described second air conditioner end equipment is carried out under default running environment
Run analogue simulation, and be calculated the actual operation parameters of each described second air conditioner end equipment；
Wherein, actual operation parameters include at least actual cooling/heating amount.
Step S208, described actual operation parameters and described building energy consumption value are compared, from each described second air-conditioning
The type meeting pre-conditioned air conditioner end equipment is filtered out in end-equipment；
Step S209, judge whether described type meets user's request, if it is not, then return re-executing step S206,
If it is, continuing executing with step S210；
Step S210, the operational factor to the corresponding air conditioner end equipment of described type and described BUILDINGS MODELS are imitated
The true power consumption values calculating, obtaining described air conditioner end equipment operation preset time period in the corresponding building of described BUILDINGS MODELS.
Wherein, the concrete numerical value of preset time period is according to depending on being actually needed, for example, one day, one month, 1 year etc..
In summary, the present invention sets up corresponding BUILDINGS MODELS according to the building energy consumption affecting parameters of user input first,
By carrying out to BUILDINGS MODELS emulating the building energy consumption value obtaining including at least there being demand cold heat amount, then according to building energy consumption
Value and user carry out type selecting to the demand of air conditioner end equipment to air conditioner end equipment.It follows that the building energy in the present invention
Consumption value is obtained by building energy consumption emulation, and for rule of thumb estimating compared to existing technology, the air conditioning terminal that the present invention obtains sets
Standby type selecting result is more accurate, therefore, it is possible to simulate the ruuning situation of real air conditioner end equipment.
In addition, compared to existing technology for scheme, the present invention can also be calculated air conditioner end equipment in BUILDINGS MODELS
Running the power consumption values of preset time period in corresponding building, thus considerably increasing the understanding to air conditioner end equipment for the user, entering
And improve the success rate recommending air conditioner end equipment to user.
It is fully understood by the details of air conditioner end equipment for the convenience of the user, the present invention can also be by the final air-conditioning chosen
The details of end-equipment are exported with report form.
Therefore, for optimizing above-described embodiment further, after step S210, step can also be included：
Step S211, generate and export type selecting report.
Wherein, described type selecting report is including at least actual operation parameters, the building energy consumption value having the second air conditioner end equipment
And type.
Certainly, other information can also be included in type selecting report, such as calculated power consumption values in step S210.
Corresponding with said method embodiment, the invention also discloses a kind of selection system of air conditioner end equipment.
Referring to Fig. 3, a kind of structural representation of the selection system of air conditioner end equipment disclosed in the embodiment of the present invention, this choosing
Type equipment includes：
First acquisition unit 301, for obtaining the building energy consumption affecting parameters of user input；
Wherein, building energy consumption affecting parameters can include：The longitude and latitude of air conditioner end equipment building to be mounted, direction,
Using material, shape, room-size etc..
Unit 302 set up by model, for setting up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
Specifically, building energy consumption affecting parameters are inputted building simulation calculation software and set up corresponding BUILDINGS MODELS.
First simulation unit 303, obtains building energy consumption value, described building for described BUILDINGS MODELS is carried out with simulation calculation
Power consumption values include at least demand cold heat amount；
In practice, building energy consumption value can also include the demand parameters such as demand air quantity.
It should be noted that when emulating to BUILDINGS MODELS, being calculated building with specific reference to law of conservation of energy
Power consumption values.Illustrate it is assumed that outdoor temperature is 35 DEG C, indoor temperature is 36 DEG C, when needing for indoor temperature to be reduced to 27 DEG C
When it is assumed that this room is airtight (in room only carry out heat exchange by air-conditioner), then permissible according to law of conservation of energy
Calculate and indoor temperature is reduced to 27 DEG C of energy values that need to consume by 36 DEG C.Wherein, this room keeps the energy value of this consumption
Need within one day the total energy value consuming, be this one day energy consumption in room.
It is understood that room is unlikely to be completely airtight in practice, its also exist a lot of impact energy consumptions because
Element, for example, the heat exchange between room air and outdoor air, the activity of people, environment temperature, therefore in actual applications, in meter
Also need to consider the impact of these uncertainties when calculating building energy consumption value.
Check building energy consumption value for the convenience of the user, after being calculated building energy consumption value, can also this be built in interface display
Build power consumption values.
First screening unit 304, comprises all of the first of described building energy consumption value for preliminary cooling/heating scope of choosing
Air conditioner end equipment；
Wherein, the first air conditioner end equipment can include：(wind disk includes wind disk：Horizontal type concealed type wind disk, flap seat type wind
Disk, ceiling-installed wind disk and wall built-up type wind disk) and hang clothes closet (hang clothes closet include Ultrathin suspended ceiling formula hang clothes closet, E series furred ceiling hang clothes closet
With vertical hanging clothes closet).
Second screening unit 305, for, from preliminary each described first air conditioner end equipment chosen, choosing and meeting user
All of second air conditioner end equipment of demand；
Second acquisition unit 306, for obtaining the operational factor of described second air conditioner end equipment of user input；
Wherein, operational factor refers specifically to simulate the important parameter that air conditioner end equipment runs, for example, inlet water temperature,
Exit water temperature, air intake dry-bulb temperature, air intake wet-bulb temperature, optional scope of demand cold heat amount of air conditioner end equipment etc..
First computing unit 307, for according to described operational factor to each described second air conditioner end equipment in default fortune
Carry out under row environment running analogue simulation, and be calculated the actual operation parameters of each described second air conditioner end equipment, described
Actual operation parameters include at least actual cooling/heating amount；
It should be noted that actual operation parameters can also include air-cooled, observable index (COP) etc..
Third filtering unit 308, for described actual operation parameters and described building energy consumption value are compared, from each institute
State and in the second air conditioner end equipment, filter out the type meeting pre-conditioned air conditioner end equipment.
Wherein, pre-conditioned can be：The upper lower deviation of actual operation parameters and building energy consumption value is less than default percentage
Than (such as 5%).
Depending on pre-conditioned concrete foundation is actually needed, here of the present invention does not limit.
In summary, the present invention sets up corresponding BUILDINGS MODELS according to the building energy consumption affecting parameters of user input first,
By carrying out to BUILDINGS MODELS emulating the building energy consumption value obtaining including at least there being demand cold heat amount, then according to building energy consumption
Value and user carry out type selecting to the demand of air conditioner end equipment to air conditioner end equipment.It follows that the building energy in the present invention
Consumption value is obtained by building energy consumption emulation, and for rule of thumb estimating compared to existing technology, the air conditioning terminal that the present invention obtains sets
Standby type selecting result is more accurate, therefore, it is possible to simulate the ruuning situation of real air conditioner end equipment.
In addition, compared to existing technology for scheme, present invention dramatically increases the understanding to air conditioner end equipment for the user, from
And improve the success rate recommending air conditioner end equipment to user.
Wherein, when the actual operation parameters of calculated second air conditioner end equipment also include observable index, can be by
Filter out meets in pre-conditioned air conditioner end equipment the high equipment recommendation of observable index to user.Therefore, above-described embodiment
Middle third filtering unit 308 also includes：
Described actual operation parameters and described building energy consumption value are compared, from each described second air conditioner end equipment
Filter out and meet pre-conditioned and observable index highest air conditioner end equipment type.
For optimizing above-described embodiment further, referring to Fig. 4, a kind of air conditioner end equipment disclosed in another embodiment of the present invention
Selection system structural representation, this selection system includes：
First acquisition unit 401, for obtaining the building energy consumption affecting parameters of user input；
Wherein, building energy consumption affecting parameters can include：The longitude and latitude of air conditioner end equipment building to be mounted, direction,
Using material, shape, room-size etc..
Unit 402 set up by model, for setting up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
Specifically, building energy consumption affecting parameters are inputted building simulation calculation software and set up corresponding BUILDINGS MODELS.
First simulation unit 403, obtains building energy consumption value, described building for described BUILDINGS MODELS is carried out with simulation calculation
Power consumption values include at least demand cold heat amount；
In practice, building energy consumption value can also include the demand parameters such as demand air quantity.
First screening unit 404, comprises all of the first of described building energy consumption value for preliminary cooling/heating scope of choosing
Air conditioner end equipment；
Wherein, the first air conditioner end equipment can include：(wind disk includes wind disk：Horizontal type concealed type wind disk, flap seat type wind
Disk, ceiling-installed wind disk and wall built-up type wind disk) and hang clothes closet (hang clothes closet include Ultrathin suspended ceiling formula hang clothes closet, E series furred ceiling hang clothes closet
With vertical hanging clothes closet).
Second screening unit 405, for, from preliminary each described first air conditioner end equipment chosen, choosing and meeting user
All of second air conditioner end equipment of demand；
Second acquisition unit 406, for obtaining the operational factor of described second air conditioner end equipment of user input；
Wherein, operational factor refers specifically to simulate the important parameter that air conditioner end equipment runs, for example, inlet water temperature,
Exit water temperature, air intake dry-bulb temperature, air intake wet-bulb temperature, optional scope of demand cold heat amount of air conditioner end equipment etc..
First computing unit 407, for according to described operational factor to each described second air conditioner end equipment in default fortune
Carry out under row environment running analogue simulation, and be calculated the actual operation parameters of each described second air conditioner end equipment, described
Actual operation parameters include at least actual cooling/heating amount；
It should be noted that actual operation parameters can also include air-cooled, observable index (COP) etc..
Third filtering unit 408, for described actual operation parameters and described building energy consumption value are compared, from each institute
State and in the second air conditioner end equipment, filter out the type meeting pre-conditioned air conditioner end equipment；
Wherein, pre-conditioned can be：The upper lower deviation of actual operation parameters and building energy consumption value is less than default percentage
Than (such as 5%).
Depending on pre-conditioned concrete foundation is actually needed, here of the present invention does not limit.
Judging unit 409, for judging whether described type meets user's request；
Returning unit 410, in the case of being judged as NO in judging unit 409, returns second acquisition unit 406, then
The operational factor of secondary amended described second air conditioner end equipment obtaining user input, screens type again；
Power consumption values computing unit 411, in the case of being judged as YES in judging unit 409, corresponding to described type
The operational factor of air conditioner end equipment and described BUILDINGS MODELS carry out simulation calculation, obtain described air conditioner end equipment described
The power consumption values of preset time period are run in the corresponding building of BUILDINGS MODELS.
Wherein, the concrete numerical value of preset time period is according to depending on being actually needed, for example, one day, one month, 1 year etc..
In summary, the present invention sets up corresponding BUILDINGS MODELS according to the building energy consumption affecting parameters of user input first,
By carrying out to BUILDINGS MODELS emulating the building energy consumption value obtaining including at least there being demand cold heat amount, then according to building energy consumption
Value and user carry out type selecting to the demand of air conditioner end equipment to air conditioner end equipment.It follows that the building energy in the present invention
Consumption value is obtained by building energy consumption emulation, and for rule of thumb estimating compared to existing technology, the air conditioning terminal that the present invention obtains sets
Standby type selecting result is more accurate, therefore, it is possible to simulate the ruuning situation of real air conditioner end equipment.
In addition, compared to existing technology for scheme, the present invention can also be calculated air conditioner end equipment in BUILDINGS MODELS
Running the power consumption values of preset time period in corresponding building, thus considerably increasing the understanding to air conditioner end equipment for the user, entering
And improve the success rate recommending air conditioner end equipment to user.
It is fully understood by the details of air conditioner end equipment for the convenience of the user, the present invention can also be by the final air-conditioning chosen
The details of end-equipment are exported with report form.
Therefore, for optimizing above-described embodiment further, can also include：
Report generation output unit, for generating and exporting type selecting report.
Wherein, described type selecting report is including at least actual operation parameters, the building energy consumption value having the second air conditioner end equipment
And type.
Certainly, power consumption values can also be included in type selecting report.
It should be noted that the concrete operating principle of each part refers to embodiment of the method correspondence in system embodiment
Part, here is omitted.
Last in addition it is also necessary to explanation, herein, such as first and second or the like relational terms be used merely to by
One entity or operation are made a distinction with another entity or operation, and not necessarily require or imply these entities or operation
Between there is any this actual relation or order.And, term " inclusion ", "comprising" or its any other variant meaning
Covering comprising of nonexcludability, so that including a series of process of key elements, method, article or equipment not only include that
A little key elements, but also include other key elements being not expressly set out, or also include for this process, method, article or
The intrinsic key element of equipment.In the absence of more restrictions, the key element being limited by sentence "including a ...", does not arrange
Remove and also there is other identical element in the process including described key element, method, article or equipment.
In this specification, each embodiment is described by the way of going forward one by one, and what each embodiment stressed is and other
The difference of embodiment, between each embodiment identical similar portion mutually referring to.
Described above to the disclosed embodiments, makes professional and technical personnel in the field be capable of or uses the present invention.
Multiple modifications to these embodiments will be apparent from for those skilled in the art, as defined herein
General Principle can be realized without departing from the spirit or scope of the present invention in other embodiments.Therefore, the present invention
It is not intended to be limited to the embodiments shown herein, and be to fit to and principles disclosed herein and features of novelty phase one
The scope the widest causing.
Claims (12)
1. a kind of selection method of air conditioner end equipment is it is characterised in that include：
Obtain the building energy consumption affecting parameters of user input；
Set up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
Described BUILDINGS MODELS is carried out with simulation calculation and obtains building energy consumption value, described building energy consumption value include at least have demand cold/
Heat；
Preliminary selection cooling/heating scope comprises all of first air conditioner end equipment of described building energy consumption value；
From preliminary each described first air conditioner end equipment chosen, choose all of second air conditioning terminal meeting user's request
Equipment；
Obtain the operational factor of described second air conditioner end equipment of user input；
Each described second air conditioner end equipment is carried out under default running environment run analogue simulation according to described operational factor,
And it is calculated the actual operation parameters of each described second air conditioner end equipment, described actual operation parameters include at least reality
Cooling/heating amount；
Described actual operation parameters and described building energy consumption value are compared, screens from each described second air conditioner end equipment
Go out the type meeting pre-conditioned air conditioner end equipment.
2. selection method according to claim 1 is it is characterised in that described pre-conditioned inclusion：Described actual motion ginseng
The upper lower deviation of number and described building energy consumption value is less than preset percentage.
3. selection method according to claim 1 is it is characterised in that when described actual operation parameters also include Energy Efficiency Ratio
When, described described actual operation parameters and described building energy consumption value are compared, from each described second air conditioner end equipment
Filter out and meet the type of pre-conditioned air conditioner end equipment and include：
Described actual operation parameters and described building energy consumption value are compared, screens from each described second air conditioner end equipment
Go out to meet pre-conditioned and observable index highest air conditioner end equipment type.
4. selection method according to claim 1 is it is characterised in that when described type is unsatisfactory for user's request, described
Selection method also includes：
Obtain the operational factor of amended described second air conditioner end equipment of user input again, again screen type.
5. selection method according to claim 1 is it is characterised in that when described type meets user's request, described choosing
Type method also includes：
Simulation calculation is carried out to the operational factor and described BUILDINGS MODELS of the corresponding air conditioner end equipment of described type, obtains institute
State the power consumption values that air conditioner end equipment runs preset time period in the corresponding building of described BUILDINGS MODELS.
6. selection method according to claim 1 is it is characterised in that also include：
Generate and export type selecting report, described type selecting report includes at least described actual operation parameters, described building energy consumption value
With described type.
7. a kind of selection system of air conditioner end equipment is it is characterised in that include：
First acquisition unit, for obtaining the building energy consumption affecting parameters of user input；
Unit set up by model, for setting up corresponding BUILDINGS MODELS according to described building energy consumption affecting parameters；
First simulation unit, obtains building energy consumption value, described building energy consumption value for described BUILDINGS MODELS is carried out with simulation calculation
Including at least has demand cold heat amount；
First screening unit, chooses, for preliminary, all of first air-conditioning end that cooling/heating scope comprises described building energy consumption value
End equipment；
Second screening unit, for, from preliminary each described first air conditioner end equipment chosen, choosing and meeting user's request
All of second air conditioner end equipment；
Second acquisition unit, for obtaining the operational factor of described second air conditioner end equipment of user input；
First computing unit, for according to described operational factor to each described second air conditioner end equipment under default running environment
Carry out running analogue simulation, and be calculated the actual operation parameters of each described second air conditioner end equipment, described actual motion
Parameter includes at least actual cooling/heating amount；
Third filtering unit, for described actual operation parameters and described building energy consumption value are compared, from each described second
The type meeting pre-conditioned air conditioner end equipment is filtered out in air conditioner end equipment.
8. selection system according to claim 7 is it is characterised in that described pre-conditioned inclusion：Described actual motion ginseng
The upper lower deviation of number and described building energy consumption value is less than preset percentage.
9. selection system according to claim 7 is it is characterised in that when described actual operation parameters also include Energy Efficiency Ratio
When, described third filtering unit also includes：
Described actual operation parameters and described building energy consumption value are compared, screens from each described second air conditioner end equipment
Go out to meet pre-conditioned and observable index highest air conditioner end equipment type.
10. selection system according to claim 7 is it is characterised in that when described type is unsatisfactory for user's request, also wrap
Include：
Returning unit, for returning described second acquisition unit, obtains amended described second air-conditioning of user input again
The operational factor of end-equipment, screens type again.
11. selection systems according to claim 7 are it is characterised in that described selection system also includes：
Power consumption values computing unit, for when described type meets user's request, the corresponding air conditioner end equipment to described type
Operational factor and described BUILDINGS MODELS carry out simulation calculation, obtain described air conditioner end equipment and correspond in described BUILDINGS MODELS
Building in run preset time period power consumption values.
12. selection systems according to claim 7 are it is characterised in that also include：
Report generation output unit, for generating and exporting type selecting report, described type selecting report includes at least described actual fortune
Line parameter, described building energy consumption value and described type.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109146647A (en) * | 2018-09-26 | 2019-01-04 | 珠海格力电器股份有限公司 | A kind of method for pushing and device, computer installation and readable storage medium storing program for executing |
| CN109255664A (en) * | 2018-10-17 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of product type selection method, storage medium and processor |
| CN110006096A (en) * | 2019-04-15 | 2019-07-12 | 廊坊新奥泛能网络科技服务有限公司 | Choosing method, device and the electronic equipment of heating machine set |
| CN111076354A (en) * | 2019-12-31 | 2020-04-28 | 珠海格力电器股份有限公司 | Equipment model selection method and system of central air conditioner |
| CN112767074A (en) * | 2021-01-08 | 2021-05-07 | 珠海格力电器股份有限公司 | Module machine model selection method and device, computer equipment and storage medium |
| CN113706238A (en) * | 2021-08-12 | 2021-11-26 | 珠海格力电器股份有限公司 | Air conditioner model selection method and device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130204454A1 (en) * | 2012-02-08 | 2013-08-08 | Electronics And Telecommunications Research Institute | Optimal energy management and energy equipment control interlocking system for residential complex |
| CN103425712A (en) * | 2012-05-25 | 2013-12-04 | 珠海格力电器股份有限公司 | Engineering data processing method and system for engineering model selection |
| CN103455490A (en) * | 2012-05-28 | 2013-12-18 | 珠海格力电器股份有限公司 | Modeling processing method and system for air conditioner type selection |
| CN104598721A (en) * | 2014-12-18 | 2015-05-06 | 珠海格力电器股份有限公司 | Data processing method and device for air conditioning equipment model selection |
-
2016
- 2016-09-12 CN CN201610818121.6A patent/CN106446374B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130204454A1 (en) * | 2012-02-08 | 2013-08-08 | Electronics And Telecommunications Research Institute | Optimal energy management and energy equipment control interlocking system for residential complex |
| CN103425712A (en) * | 2012-05-25 | 2013-12-04 | 珠海格力电器股份有限公司 | Engineering data processing method and system for engineering model selection |
| CN103455490A (en) * | 2012-05-28 | 2013-12-18 | 珠海格力电器股份有限公司 | Modeling processing method and system for air conditioner type selection |
| CN104598721A (en) * | 2014-12-18 | 2015-05-06 | 珠海格力电器股份有限公司 | Data processing method and device for air conditioning equipment model selection |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109146647A (en) * | 2018-09-26 | 2019-01-04 | 珠海格力电器股份有限公司 | A kind of method for pushing and device, computer installation and readable storage medium storing program for executing |
| CN109255664A (en) * | 2018-10-17 | 2019-01-22 | 珠海格力电器股份有限公司 | A kind of product type selection method, storage medium and processor |
| CN110006096A (en) * | 2019-04-15 | 2019-07-12 | 廊坊新奥泛能网络科技服务有限公司 | Choosing method, device and the electronic equipment of heating machine set |
| CN110006096B (en) * | 2019-04-15 | 2021-09-10 | 廊坊新奥泛能网络科技服务有限公司 | Heating unit selection method and device and electronic equipment |
| CN111076354A (en) * | 2019-12-31 | 2020-04-28 | 珠海格力电器股份有限公司 | Equipment model selection method and system of central air conditioner |
| CN112767074A (en) * | 2021-01-08 | 2021-05-07 | 珠海格力电器股份有限公司 | Module machine model selection method and device, computer equipment and storage medium |
| CN112767074B (en) * | 2021-01-08 | 2024-04-09 | 珠海格力电器股份有限公司 | Modular machine type selection method, device, computer equipment and storage medium |
| CN113706238A (en) * | 2021-08-12 | 2021-11-26 | 珠海格力电器股份有限公司 | Air conditioner model selection method and device, computer equipment and storage medium |
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