CN107143970A - Air-conditioning selection method and device - Google Patents
Air-conditioning selection method and device Download PDFInfo
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- CN107143970A CN107143970A CN201710254158.5A CN201710254158A CN107143970A CN 107143970 A CN107143970 A CN 107143970A CN 201710254158 A CN201710254158 A CN 201710254158A CN 107143970 A CN107143970 A CN 107143970A
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- target room
- room
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- conditioning
- workload demand
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
Abstract
The invention discloses a kind of air-conditioning selection method and device.Wherein, this method includes：The workload demand parameter in target room is obtained, wherein, target room is the room of air-conditioning to be installed, and the workload demand parameter is the parameter for the workload demand for influenceing the target room；The total load amount in the target room is calculated using the workload demand parameter of acquisition；It is determined that the indoor apparatus of air conditioner model flux matched with the total load in the target room.By means of the invention it is possible to complete the recommendation type selecting of indoor apparatus of air conditioner, recommend relative to sales force's experience is relied in the prior art, this programme can accurate evaluation using building workload demand, it is to avoid cause selected type to meet the situation of user's use demand.
Description
Technical field
The present invention relates to field of air conditioning, in particular to a kind of air-conditioning selection method and device.
Background technology
With the high raising of people's living standard, air-conditioning has become the essential home appliance of every family.For
The light commercial building such as hotel, hotel, dining room, the promotion and application of central air-conditioning multiple on-line system are also gradually perfect, or even some
Civil apartment also using central air-conditioning multiple on-line system.Therefore, how user selects a set of to meet use demand
Air-conditioning is particularly important.At present, most of users can not assess the workload demand of building, therefore can only rely on pushing away for sales force
Recommend, however, sales force lacks technical background, only by virtue of experience recommend type, can not accurate evaluation bearing using building
Lotus demand, whether selected type, which can meet user's use demand, lacks technical support.If selected for the collocation of inappropriate type,
It is likely to result in unit operation failure, it is impossible to make guarantee using effect, the loss in property or experience may be caused to user.
The content of the invention
It is a primary object of the present invention to provide a kind of air-conditioning selection method and device, to solve to sell people in the prior art
Member can not accurate evaluation using the workload demand of building, be easily caused selected type and can not meet the technology of user's use demand and ask
Topic.
To achieve these goals, according to an aspect of the invention, there is provided a kind of air-conditioning selection method.According to this hair
Bright method includes：The workload demand parameter in target room is obtained, wherein, target room is the room of air-conditioning to be installed, described
Workload demand parameter is the parameter for the workload demand for influenceing the target room；Calculate described using the workload demand parameter of acquisition
The total load amount in target room；It is determined that the indoor apparatus of air conditioner model flux matched with the total load in the target room.
Alternatively, the workload demand parameter includes room area and unit area loading amount, in addition to room amendment system
Number and/or weather correction factor, wherein, the room correction factor is used for the Status Type for correcting the target room to described
The influence of the workload demand in target room, the weather correction factor is used for the weather pair for correcting target room their location
The influence of the workload demand in the target room.
Alternatively, obtaining the workload demand parameter in target room includes：To being taken pictures in the target room, institute is obtained
State the photo in target room；The direction in the target room is determined according to the photo in the target room；Determine the target room
Between wall type；According to the direction in the target room and the wall type, the room correction factor is determined.
Alternatively, obtaining the workload demand parameter in target room includes：The geographical position in the target room is obtained, it is determined that
Area residing for the target room；Obtain the regional climatic data residing for the target room；According to the climatic data
Determine the weather correction factor.
Alternatively, it is determined that after the indoor apparatus of air conditioner model flux matched with the total load in the target room, in addition to：
It is determined that the air-conditioner outdoor unit model matched with the indoor apparatus of air conditioner model.
Alternatively, the air-conditioning is central air-conditioning, and the target room is multiple, wherein, determining each mesh
After the indoor apparatus of air conditioner model for marking room, air-conditioning selection method also includes：Calculate the total load amount in all target rooms
Sum；Obtain the refrigerant pipe range drop of the central air-conditioning；According to the refrigerant pipe range drop and the total load amount and with
And the climatic data of target room their location, determine air-conditioner outdoor unit model.
To achieve these goals, there is provided a kind of air-conditioning type selecting device according to another aspect of the present invention.According to this hair
Bright air-conditioning type selecting device includes：First acquisition unit, the workload demand parameter for obtaining target room, wherein, target room
For the room of air-conditioning to be installed, the workload demand parameter is the parameter for the workload demand for influenceing the target room；First meter
Unit is calculated, the total load amount for calculating the target room using the workload demand parameter obtained；First determining unit, is used for
It is determined that the indoor apparatus of air conditioner model flux matched with the total load in the target room.
Alternatively, the workload demand parameter includes room area and unit area loading amount, in addition to room amendment system
Number and/or weather correction factor, wherein, the room correction factor is used for the Status Type for correcting the target room to described
The influence of the workload demand in target room, the weather correction factor is used for the weather pair for correcting target room their location
The influence of the workload demand in the target room.
Alternatively, the acquiring unit includes：Photo module, for being taken pictures in the target room, obtaining institute
State the photo in target room；First determining module, the court for determining the target room according to the photo in the target room
To；Second determining module, the wall type for determining the target room；3rd determining module, for according to the target
The direction in room and the wall type, determine the room correction factor.
Alternatively, the acquiring unit includes：First acquisition module, the geographical position for obtaining the target room,
Determine the area residing for the target room；Second acquisition module, for obtaining the regional weather residing for the target room
Data；4th determining module, for determining the weather correction factor according to the climatic data.
Alternatively, in addition to：Second determining unit, for it is determined that the sky flux matched with the total load in the target room
After tune indoor set model, it is determined that the air-conditioner outdoor unit model matched with the indoor apparatus of air conditioner model.
Alternatively, the air-conditioning is central air-conditioning, and the target room is multiple, wherein, air-conditioning type selecting device also includes：
Second computing unit, for after the indoor apparatus of air conditioner model in each target room is determined, calculating all mesh
Mark the sum of the total load amount in room；Second acquisition unit, the refrigerant pipe range drop for obtaining the central air-conditioning；3rd determines
Unit, for according to the refrigerant pipe range drop and the total load amount and and target room their location weather
Data, determine air-conditioner outdoor unit model.
According to embodiments of the present invention, by obtaining the workload demand parameter in target room, target room is obtained to calculate
Total load amount, so as to the total load that calculates according to this it is flux matched go out corresponding indoor apparatus of air conditioner model, complete air-conditioning
The recommendation type selecting of indoor set, recommends relative to sales force experience is relied in the prior art, this programme can accurate evaluation use
The workload demand of building, it is to avoid cause selected type to meet the situation of user's use demand.
Brief description of the drawings
The accompanying drawing for constituting the part of the application is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate to be used to explain the present invention, do not constitute inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is the flow chart of air-conditioning selection method according to embodiments of the present invention；
Fig. 2 is the flow chart of another optional air-conditioning selection method according to embodiments of the present invention；
Fig. 3 is the schematic diagram of air-conditioning type selecting device according to embodiments of the present invention.
Embodiment
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the application can phase
Mutually combination.Describe the present invention in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, should all belong to the model that the present invention is protected
Enclose.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, "
Two " etc. be for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so using
Data can exchange in the appropriate case, so as to embodiments of the invention described herein.In addition, term " comprising " and " tool
Have " and their any deformation, it is intended that covering is non-exclusive to be included, for example, containing series of steps or unit
Process, method, system, product or equipment are not necessarily limited to those steps clearly listed or unit, but may include without clear
It is listing to Chu or for the intrinsic other steps of these processes, method, product or equipment or unit.
The embodiments of the invention provide a kind of air-conditioning selection method, this method can be used for client, and the client can be with
It is entity hardware device, such as software of mobile terminal (including mobile phone, tablet personal computer) or installation on an electronic device
Program, its function can be realized by the program of storage on a storage medium.
Fig. 1 is the flow chart of air-conditioning selection method according to embodiments of the present invention.As shown in figure 1, the air-conditioning selection method
It is as follows including step：
Step S101, obtains the workload demand parameter in target room, wherein, target room is the room of air-conditioning to be installed,
Workload demand parameter is the parameter of the workload demand in influence target room.
In the embodiment of the present invention, the parameter of the workload demand in influence target room all can be described as workload demand parameter, and this is born
Lotus demand parameter includes but is not limited to room area and unit area loading amount, and the total of obtained target room is calculated in order to improve
The accuracy of load, the workload demand parameter of the embodiment of the present invention can also include room correction factor and/or weather amendment
Coefficient, wherein, room correction factor is used to correct the influence of the Status Type in target room to the workload demand in target room, gas
Waiting correction factor is used to correct the influence of the weather of target room their location to the workload demand in target room.Wherein, room
Status Type can refer to the direction in room, wall type (such as building type and material type).
In the embodiment of the present invention, for workload demand parameter, it can on the client be inputted and obtained by user, can also
Directly detected and obtained by client, can also be and obtained by client by network from other servers or terminal.No
The workload demand parameter of same type its acquisition modes can be with identical, can also be different.Specifically, for the acquisition of room area,
It can be selected to confirm by user, client is supplied in input；For unit area loading amount, due to different rooms
Purposes determines the unit area loading amount in the house, therefore, it can count the room pair for obtaining different purposes by big data
The unit area loading amount answered, is then store in database.After user determines the purposes in target room, directly from number
The unit area loading amount for determining target room according to being searched in storehouse.
Step S102, the total load amount in target room is calculated using the workload demand parameter of acquisition.
In the present embodiment, different calculation formula can be set according to different workload demand parameter combinations.For example, when negative
When lotus demand parameter is room area S and unit area loading amount q, total load amount Q=S × q can be set；Can be alternatively
Improving also at least includes room correction factor M and weather in the accuracy for calculating obtained total load amount, the embodiment of the present invention
One kind in correction factor C, under the conditions of the load difference and Different climate in the room of correcting different conditions type
Room load difference, specific formula can be：Q=S × q × M, either Q=S × q × C or Q=S × q × M × C.
Step S103, it is determined that the indoor apparatus of air conditioner model flux matched with the total load in target room.
After calculating and obtaining the total load amount in target room, it is only necessary to determine go out the air conditioning chamber with the load total load amount
Interior machine just, then exports its model, completes the type selecting of indoor set.
According to embodiments of the present invention, by obtaining the workload demand parameter in target room, target room is obtained to calculate
Total load amount, so as to the total load that calculates according to this it is flux matched go out corresponding indoor apparatus of air conditioner model, complete air-conditioning
The recommendation type selecting of indoor set, recommends relative to sales force experience is relied in the prior art, this programme can accurate evaluation use
The workload demand of building, it is to avoid cause selected type to meet the situation of user's use demand.
The air-conditioning selection method of the embodiment of the present invention, it is determined that the indoor apparatus of air conditioner flux matched with the total load in target room
After model, in addition to：It is determined that the air-conditioner outdoor unit model matched with indoor apparatus of air conditioner model, and recommendation report can also be exported
Accuse, thereon comprising the indoor apparatus of air conditioner model and indoor apparatus of air conditioner model determined, user can go purchase by this report
Buy corresponding air-conditioner set.
As a kind of optional embodiment of the above embodiment of the present invention, the load in target room is obtained in the present embodiment
Demand parameter includes：To being taken pictures in target room, the photo in target room is obtained；Mesh is determined according to the photo in target room
Mark the direction in room；Determine the wall type in target room；According to the direction in target room and wall type, room amendment is determined
Coefficient.It should be noted that primarily with regard to the description for obtaining room correction factor, and non-limiting acquisition load in the present embodiment
Demand parameter only includes obtaining room correction factor.
In the present embodiment, using the client with camera function, by being taken pictures to target room, the room is obtained
Photo, the direction in automatic identification room from photo specifically, door and window can identifies from photo, is determined according to door and window
The direction in room, can also directly determine the direction in room using the gyroscope in client；For the wall type in room,
There can be user's input determination.In the present embodiment, it can calculate and be obtained not previously according to lot of experimental data or statistics
With direction and the room correction factor in the room of the different wall types of correspondence, it that is to say, predefine out room correction factor
With room direction and the relation of wall type.After the direction and wall type for determining room, corresponding room is directly searched
Between correction factor.
According to embodiments of the present invention, by the direction in identification room of taking pictures, user is facilitated quickly to determine room direction, it is to avoid
User can not determine room towards when can not obtain the situation of room correction factor.In addition, according to room direction and wall class
Type determines room correction factor, and then provides basis for the accuracy for improving total space heating load amount.
As another optional embodiment of above-described embodiment, the workload demand in target room is obtained in the present embodiment
Parameter includes：The geographical position in target room is obtained, the area residing for target room is determined；Obtain the area residing for target room
Climatic data；Weather correction factor is determined according to climatic data.Similarly, primarily with regard to acquisition weather amendment in the present embodiment
The description of coefficient, and non-limiting acquisition workload demand parameter only includes acquisition weather correction factor.
In the present embodiment, client can carry positioning function, when user takes client in target room, client
Current location information is obtained, so that it is determined that going out the geographical position in room, and then room their location is obtained.Then meteorology clothes are passed through
The equipment such as business device remotely obtain the climatic data of locality, and weather correction factor is obtained accordingly.In the embodiment of the present invention, weather amendment
Corresponding relation between coefficient and climatic data can also be obtained by mass data experiment or big data statistics.
In above-described embodiment, the room correction factor and weather correction factor that client can be determined are calculated and repaiied automatically
Positive room actual load demand, and the type for recommending to be adapted to user.
To sum up, the embodiment of the present invention shoots room photo automatic identification room direction by user；Obtained by positioning function
Take room geographical position；Unit area loading demand is determined according to room service condition；It is big according to the room area that user inputs
Small, with reference to room direction, room application and local climate condition, the actual workload demand in amendment room are recommended with this to user
Appropriate indoor set.After all room indoor sets complete type selecting, recommend outdoor unit automatically.Whole process is commented automatically by client
Estimate, accuracy is high.
Fig. 2 is the flow chart of another optional air-conditioning selection method according to embodiments of the present invention.The air-conditioning choosing of the embodiment
Type method can be a kind of preferred embodiment of the air-conditioning selection method of above-described embodiment.As shown in Fig. 2 the air-conditioning type selecting side
It is as follows that method includes step：
Step S201, obtains the workload demand parameter in target room, wherein, target room is the room of air-conditioning to be installed,
Workload demand parameter is the parameter of the workload demand in influence target room.
Step S202, the total load amount in target room is calculated using the workload demand parameter of acquisition.
Step S203, it is determined that the indoor apparatus of air conditioner model flux matched with the total load in target room.
Above-mentioned steps S201-203 is identical with the step S101-103 shown in Fig. 1, referring specifically to being described above, here no longer
Repeat.
Step S204, judges whether that indoor apparatus of air conditioner model is determined in each target room；If it is, performing step
S205, above-mentioned steps S201-S203 is performed conversely, then being returned to next target room.
Step S205, calculates the sum of the total load amount in all target rooms.
Step S206, obtains the refrigerant pipe range drop of central air-conditioning.
Step S207, according to refrigerant pipe range drop and total load amount and and target room their location weather number
According to determining air-conditioner outdoor unit model.
In the embodiment of the present invention, by the S201-S203 that repeats the above steps, the choosing of all room air conditioner indoor sets is completed
Type.After the multi-joint indoor set type selecting in all rooms of completion, client automatically generates central air conditioner system schematic diagram, points out user defeated
Enter drop between refrigerant pipe range drop or refrigerant pipe range and indoor set, client is according to the total load of room indoor set
Roomed total load amount and, refrigerant pipe range drop, and combine local climate condition, automatic Check simultaneously recommends suitable room
Interior machine.Complete after above-mentioned selection steps, client will generate central air conditioner system output report.User can by this report to work as
Ground dealer buys corresponding unit.
The embodiment of the present invention additionally provides a kind of air-conditioning type selecting device.The device can realize its work(by electronic equipment
Energy.It should be noted that the air-conditioning type selecting device of the embodiment of the present invention can be used for performing the sky that the embodiment of the present invention is provided
Selection method is adjusted, the air-conditioning type selecting that the air-conditioning selection method of the embodiment of the present invention can also be provided by the embodiment of the present invention is filled
Put to perform.
Fig. 3 is the schematic diagram of air-conditioning type selecting device according to embodiments of the present invention.As shown in figure 3, the air-conditioning type selecting device
Including：First acquisition unit 10, the first computing unit 20 and the first determining unit 30.
First acquisition unit 10 is used for the workload demand parameter for obtaining target room, wherein, target room is sky to be installed
The room of tune, workload demand parameter is the parameter of the workload demand in influence target room.
In the embodiment of the present invention, the parameter of the workload demand in influence target room all can be described as workload demand parameter, and this is born
Lotus demand parameter includes but is not limited to room area and unit area loading amount, and the total of obtained target room is calculated in order to improve
The accuracy of load, the workload demand parameter of the embodiment of the present invention can also include room correction factor and/or weather amendment
Coefficient, wherein, room correction factor is used to correct the influence of the Status Type in target room to the workload demand in target room, gas
Waiting correction factor is used to correct the influence of the weather of target room their location to the workload demand in target room.Wherein, room
Status Type can refer to the direction in room, wall type (such as building type and material type).
In the embodiment of the present invention, for workload demand parameter, it can be obtained, can also directly detected by user's input
Arrive, can also be and obtained by network from other servers or terminal.Its acquisition of different types of workload demand parameter
Mode can be with identical, can also be different.Specifically, for the acquisition of room area, it can be selected to confirm by user, with input
Mode is provided；For unit area loading amount, because different room applications determines the unit area loading amount in the house, because
This, the corresponding unit area loading amount in room for obtaining different purposes can be counted by big data, database is then store in
In.After user determines the purposes in target room, the unit area for determining target room is searched directly from database
Load.
First computing unit 20 is used for the total load amount that target room is calculated using the workload demand parameter obtained.
In the present embodiment, different calculation formula can be set according to different workload demand parameter combinations.For example, when negative
When lotus demand parameter is room area S and unit area loading amount q, total load amount Q=S × q can be set；Can be alternatively
Improving also at least includes room correction factor M and weather in the accuracy for calculating obtained total load amount, the embodiment of the present invention
One kind in correction factor C, under the conditions of the load difference and Different climate in the room of correcting different conditions type
Room load difference, specific formula can be：Q=S × q × M, either Q=S × q × C or Q=S × q × M × C.
First determining unit 30 is used to determine the indoor apparatus of air conditioner model flux matched with the total load in target room.
After calculating and obtaining the total load amount in target room, it is only necessary to determine go out the air conditioning chamber with the load total load amount
Interior machine just, then exports its model, completes the type selecting of indoor set.
According to embodiments of the present invention, by obtaining the workload demand parameter in target room, target room is obtained to calculate
Total load amount, so as to the total load that calculates according to this it is flux matched go out corresponding indoor apparatus of air conditioner model, complete air-conditioning
The recommendation type selecting of indoor set, recommends relative to sales force experience is relied in the prior art, this programme can accurate evaluation use
The workload demand of building, it is to avoid cause selected type to meet the situation of user's use demand.
As another optional embodiment, the air-conditioning type selecting device of the present embodiment also includes：Second determining unit, is used for
It is determined that after the indoor apparatus of air conditioner model flux matched with the total load in target room, it is determined that matched with indoor apparatus of air conditioner model
Air-conditioner outdoor unit model, and promotion and conversion can also be exported, thereon comprising the indoor apparatus of air conditioner model determined and sky
Indoor set model is adjusted, user can go to buy corresponding air-conditioner set by this report.
As a kind of optional embodiment of the above embodiment of the present invention, acquiring unit includes in the present embodiment：Take pictures
Module, for being taken pictures in target room, obtaining the photo in target room；First determining module, for according to target room
Between photo determine the direction in target room；Second determining module, the wall type for determining target room；3rd determines mould
Block, for the direction according to target room and wall type, determines room correction factor.
It should be noted that in the present embodiment primarily with regard to obtain room correction factor description, and it is non-limiting obtain
Workload demand parameter only includes obtaining room correction factor.
In the present embodiment, by being taken pictures to target room, the photo in the room is obtained, the automatic identification room from photo
Between direction, specifically, door and window can be identified from photo, the direction in room is determined according to door and window, can also directly utilized
Gyroscope in client determines the direction in room；For the wall type in room, there can be user's input determination.This implementation
In example, it can be calculated previously according to lot of experimental data or statistics and obtain different directions and the different wall types of correspondence
Room room correction factor, that is to say, predefine out the relation of room correction factor and room direction and wall type.
After the direction and wall type for determining room, corresponding room correction factor is directly searched.
According to embodiments of the present invention, by the direction in identification room of taking pictures, user is facilitated quickly to determine room direction, it is to avoid
User can not determine room towards when can not obtain the situation of room correction factor.In addition, according to room direction and wall class
Type determines room correction factor, and then provides basis for the accuracy for improving total space heating load amount.
As another optional embodiment of above-described embodiment, acquiring unit includes in the present embodiment：First obtains
Module, the geographical position for obtaining target room, determines the area residing for target room；Second acquisition module, for obtaining
Regional climatic data residing for target room；4th determining module, for determining weather correction factor according to climatic data.
Similarly, primarily with regard to the description for obtaining weather correction factor, and non-limiting acquisition workload demand in the present embodiment
Parameter only includes obtaining weather correction factor.
In the present embodiment, client can carry positioning function, when user takes client in target room, client
Current location information is obtained, so that it is determined that going out the geographical position in room, and then room their location is obtained.Then meteorology clothes are passed through
The equipment such as business device remotely obtain the climatic data of locality, and weather correction factor is obtained accordingly.In the embodiment of the present invention, weather amendment
Corresponding relation between coefficient and climatic data can also be obtained by mass data experiment or big data statistics.
In above-described embodiment, the room correction factor and weather correction factor that client can be determined are calculated and repaiied automatically
Positive room actual load demand, and the type for recommending to be adapted to user.
To sum up, the embodiment of the present invention shoots room photo automatic identification room direction by user；Obtained by positioning function
Take room geographical position；Unit area loading demand is determined according to room service condition；It is big according to the room area that user inputs
Small, with reference to room direction, room application and local climate condition, the actual workload demand in amendment room are recommended with this to user
Appropriate indoor set.After all room indoor sets complete type selecting, recommend outdoor unit automatically.Whole process is assessed automatically, accurately
Property it is high.
In another embodiment of the present invention, air-conditioning is central air-conditioning, and target room is multiple, wherein, air-conditioning type selecting device
Also include：Second computing unit, for after the indoor apparatus of air conditioner model in each target room is determined, calculating all targets
The sum of the total load amount in room；Second acquisition unit, the refrigerant pipe range drop for obtaining central air-conditioning；3rd determining unit,
For according to refrigerant pipe range drop and total load amount and and target room their location climatic data, determine air conditioning chamber
Outer type number.
After the multi-joint indoor set type selecting in all rooms of completion, central air conditioner system schematic diagram is automatically generated, points out user defeated
Enter drop between refrigerant pipe range drop or refrigerant pipe range and indoor set, be all rooms according to the total load of room indoor set
Between it is total load amount and, refrigerant pipe range drop, and combine local climate condition, automatic Check simultaneously recommends suitable indoor set.
Complete after above-mentioned selection steps, central air conditioner system output report will be generated.Commercially available from user can sell by this report to locality
Buy corresponding unit.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can be carried out sequentially or simultaneously using other.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, involved action and module is not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
, can be by another way in several embodiments provided herein, it should be understood that disclosed device
Realize.For example, device embodiment described above is only schematical, such as the division of described unit is only one kind
Division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or discussed each other
Coupling direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or used
When, it can be stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially
The part contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are to cause a computer
Equipment (can be personal computer, mobile terminal, server or network equipment etc.) performs side described in each embodiment of the invention
The all or part of step of method.And foregoing storage medium includes：USB flash disk, read-only storage (ROM, Read-Only Memory),
Random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various to be stored
The medium of program code.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (12)
1. a kind of air-conditioning selection method, it is characterised in that including：
The workload demand parameter in target room is obtained, wherein, target room is the room of air-conditioning to be installed, the workload demand ginseng
Number is the parameter for the workload demand for influenceing the target room；
The total load amount in the target room is calculated using the workload demand parameter of acquisition；
It is determined that the indoor apparatus of air conditioner model flux matched with the total load in the target room.
2. air-conditioning selection method according to claim 1, it is characterised in that the workload demand parameter includes room area
With unit area loading amount, in addition to room correction factor and/or weather correction factor, wherein, the room correction factor is used
In correcting the influence of the Status Type in the target room to the workload demand in the target room, the weather correction factor is used
Influence of the weather to the workload demand in the target room in amendment target room their location.
3. air-conditioning selection method according to claim 2, it is characterised in that obtain the workload demand parameter bag in target room
Include：
To being taken pictures in the target room, the photo in the target room is obtained；
The direction in the target room is determined according to the photo in the target room；
Determine the wall type in the target room；
According to the direction in the target room and the wall type, the room correction factor is determined.
4. the air-conditioning selection method according to Claims 2 or 3, it is characterised in that obtain the workload demand ginseng in target room
Number includes：
The geographical position in the target room is obtained, the area residing for the target room is determined；
Obtain the regional climatic data residing for the target room；
The weather correction factor is determined according to the climatic data.
5. air-conditioning selection method according to claim 1, it is characterised in that it is determined that total load with the target room
After flux matched indoor apparatus of air conditioner model, in addition to：
It is determined that the air-conditioner outdoor unit model matched with the indoor apparatus of air conditioner model.
6. air-conditioning selection method according to claim 1, it is characterised in that the air-conditioning is central air-conditioning, the target
Room is multiple, wherein, after the indoor apparatus of air conditioner model in each target room is determined, air-conditioning selection method is also wrapped
Include：
Calculate the sum of the total load amount in all target rooms；
Obtain the refrigerant pipe range drop of the central air-conditioning；
According to the refrigerant pipe range drop and the total load amount and and target room their location climatic data,
Determine air-conditioner outdoor unit model.
7. a kind of air-conditioning type selecting device, it is characterised in that including：
First acquisition unit, the workload demand parameter for obtaining target room, wherein, target room is the room of air-conditioning to be installed
Between, the workload demand parameter is the parameter for the workload demand for influenceing the target room；
First computing unit, the total load amount for calculating the target room using the workload demand parameter obtained；
First determining unit, for determining the indoor apparatus of air conditioner model flux matched with the total load in the target room.
8. air-conditioning type selecting device according to claim 7, it is characterised in that the workload demand parameter includes room area
With unit area loading amount, in addition to room correction factor and/or weather correction factor, wherein, the room correction factor is used
In correcting the influence of the Status Type in the target room to the workload demand in the target room, the weather correction factor is used
Influence of the weather to the workload demand in the target room in amendment target room their location.
9. air-conditioning type selecting device according to claim 8, it is characterised in that the acquiring unit includes：
Photo module, for being taken pictures in the target room, obtaining the photo in the target room；
First determining module, the direction for determining the target room according to the photo in the target room；
Second determining module, the wall type for determining the target room；
3rd determining module, for the direction according to the target room and the wall type, determines the room amendment system
Number.
10. air-conditioning type selecting device according to claim 8 or claim 9, it is characterised in that the acquiring unit includes：
First acquisition module, the geographical position for obtaining the target room, determines the area residing for the target room；
Second acquisition module, for obtaining the regional climatic data residing for the target room；
4th determining module, for determining the weather correction factor according to the climatic data.
11. air-conditioning type selecting device according to claim 7, it is characterised in that also include：
Second determining unit, for it is determined that after the indoor apparatus of air conditioner model flux matched with the total load in the target room,
It is determined that the air-conditioner outdoor unit model matched with the indoor apparatus of air conditioner model.
12. air-conditioning type selecting device according to claim 7, it is characterised in that the air-conditioning is central air-conditioning, the target
Room is multiple, wherein, air-conditioning type selecting device also includes：
Second computing unit, for after the indoor apparatus of air conditioner model in each target room is determined, calculating all institutes
State the sum of the total load amount in target room；
Second acquisition unit, the refrigerant pipe range drop for obtaining the central air-conditioning；
3rd determining unit, for according to the refrigerant pipe range drop and the total load amount and and the target room institute
Locate the climatic data in area, determine air-conditioner outdoor unit model.
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Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108131782A (en) * | 2017-11-29 | 2018-06-08 | 珠海格力电器股份有限公司 | Air-conditioning model reminding method and device |
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08271017A (en) * | 1995-03-31 | 1996-10-18 | Sanyo Electric Co Ltd | Method for controlling dispersed installation type air conditioner |
| KR20060038267A (en) * | 2004-10-29 | 2006-05-03 | 엘지전자 주식회사 | Room air conditioner group address creation method for multi type air conditioner |
| CN102779228A (en) * | 2012-06-07 | 2012-11-14 | 华南理工大学 | Method and system for online prediction on cooling load of central air conditioner in marketplace buildings |
| 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 |
| CN104025093A (en) * | 2011-11-30 | 2014-09-03 | Lg电子株式会社 | Installation guide system for air conditioner |
| CN104281762A (en) * | 2013-07-02 | 2015-01-14 | 珠海格力电器股份有限公司 | Method and device for model selection of multi-union air-conditioning system |
| CN104573292A (en) * | 2013-10-12 | 2015-04-29 | 珠海格力电器股份有限公司 | Model selection method and model selection device for multi-connected air conditioner system |
| 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 |
| CN104680004A (en) * | 2015-02-11 | 2015-06-03 | 西安建筑科技大学 | Building energy-saving rate calculation method |
| CN105653601A (en) * | 2015-12-21 | 2016-06-08 | 珠海格力电器股份有限公司 | Air conditioner model selection method and device |
-
2017
- 2017-04-18 CN CN201710254158.5A patent/CN107143970A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08271017A (en) * | 1995-03-31 | 1996-10-18 | Sanyo Electric Co Ltd | Method for controlling dispersed installation type air conditioner |
| KR20060038267A (en) * | 2004-10-29 | 2006-05-03 | 엘지전자 주식회사 | Room air conditioner group address creation method for multi type air conditioner |
| CN104025093A (en) * | 2011-11-30 | 2014-09-03 | Lg电子株式会社 | Installation guide system for air conditioner |
| 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 |
| CN102779228A (en) * | 2012-06-07 | 2012-11-14 | 华南理工大学 | Method and system for online prediction on cooling load of central air conditioner in marketplace buildings |
| CN104281762A (en) * | 2013-07-02 | 2015-01-14 | 珠海格力电器股份有限公司 | Method and device for model selection of multi-union air-conditioning system |
| CN104573292A (en) * | 2013-10-12 | 2015-04-29 | 珠海格力电器股份有限公司 | Model selection method and model selection device for multi-connected air conditioner system |
| 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 |
| CN104680004A (en) * | 2015-02-11 | 2015-06-03 | 西安建筑科技大学 | Building energy-saving rate calculation method |
| CN105653601A (en) * | 2015-12-21 | 2016-06-08 | 珠海格力电器股份有限公司 | Air conditioner model selection method and device |
Non-Patent Citations (2)
| Title |
|---|
| 刘艳华: "《暖通空调节能技术》", 31 May 2015, 北京，机械工业出版社 * |
| 张少军等: "《图说中央空调系统及控制技术》", 30 June 2016, 北京，中国电力出版社 * |
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